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-[{"authors":["admin"],"categories":null,"content":"Leo (Miao) You currently an Sales Analyst at Center for Vein Restoration - the largest physician owned vein clinic treating varicose veins and venous insufficiency. As a graduate from University of Maryland in Marketing Analytics and Harrisburg University of Science and Technology in Analytics, Leo (Miao) You\u0026rsquo;s professional passion are data analysis, Data Visualization and statistical modelling.\nTechnical Skills\n Programming: SAS; SQL; R Studio; SPSS; Python; Hyperion; MS Visual Studio Database: SQL Server, Mongo DB BI Tools: Tableau; Power BI Web and Social Media: Google Analytics; Facebook Business Manager Marketing Research: Survey Monkey; Qualtrics Machine Learning: Hadoop, Decision Tree, Random Forest, Clustering, Naive Bayes, Principal Component Analysis, Support Vector Machine Statistical Methods: Linear and Linearizable Regression models, Generalized Linear models: Poisson and Binary models, Choice modeling using Multinomial logit, Segmentation, Targeting and Positioning using Mixture Cluster and Mixture Regression Models, Conjoint Analysis, A/B Testing, Market Demand Forecasting using Bass, Exponential and Trial-Repeat Models Others: Microsoft Office; Sharepoint ","date":1554595200,"expirydate":-62135596800,"kind":"taxonomy","lang":"en","lastmod":1567641600,"objectID":"2525497d367e79493fd32b198b28f040","permalink":"/authors/admin/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/admin/","section":"authors","summary":"Leo (Miao) You currently an Sales Analyst at Center for Vein Restoration - the largest physician owned vein clinic treating varicose veins and venous insufficiency. As a graduate from University of Maryland in Marketing Analytics and Harrisburg University of Science and Technology in Analytics, Leo (Miao) You\u0026rsquo;s professional passion are data analysis, Data Visualization and statistical modelling.","tags":null,"title":"Leo (Miao) You","type":"authors"},{"authors":null,"categories":null,"content":"University of Maryland, MS in Marketing Analytics BUMK758F-Market Ethics \u0026amp; Policies BUMK758A-Marketing Forecast BUMK758B-Market-Based Management BUMK758D-Customer Analysis BUMK758E-Statistical Programing BUMK758G-Business Communication BUMK758K-Advanced Marketig Analytics BUMK758L-Marketing Research and Analysis BUMK758M-Retail Analytics BUMK758Q-Action Learning Project BUMK758W-Data Science BUMK758Y-Innovation Analytics Harrisburg University of Science and Technology, MS in Analytics ANLY-506-90 Exploratory Data Analysis ANLY-510-91 Analytics Prin \u0026amp; Appl II ANLY-515-90 Risk Modeling and Assessment ANLY-500-92 Analytics Prin \u0026amp; Appl ANLY-540-90 Analysis of Human Language ANLY-512-51 Data Visualization ANLY-520-51 Sentiment Analysis ANLY-699-91 Applied Project in Analytics CICS-520-50 Data Engineering and Mining ITPM-515-50 Business Analysis Fundamentals ITPM-515-50 Business Analysis Fundamentals MATH-510-50 Applied Statistical Methods Other Courses DATA-521 Tackling Big Data Challenges INST-569 Data and System Security CMSC-512 Computer Architecture TECH-540 Database Management Systems INST-525 Business Intelligence and Data Warehousing TECH-581 E-Business Systems ]`. -- ","date":1536451200,"expirydate":-62135596800,"kind":"section","lang":"en","lastmod":1586476800,"objectID":"59c3ce8e202293146a8a934d37a4070b","permalink":"/courses/example/","publishdate":"2018-09-09T00:00:00Z","relpermalink":"/courses/example/","section":"courses","summary":"University of Maryland, MS in Marketing Analytics BUMK758F-Market Ethics \u0026amp; Policies BUMK758A-Marketing Forecast BUMK758B-Market-Based Management BUMK758D-Customer Analysis BUMK758E-Statistical Programing BUMK758G-Business Communication BUMK758K-Advanced Marketig Analytics BUMK758L-Marketing Research and Analysis BUMK758M-Retail Analytics BUMK758Q-Action Learning Project BUMK758W-Data Science BUMK758Y-Innovation Analytics Harrisburg University of Science and Technology, MS in Analytics ANLY-506-90 Exploratory Data Analysis ANLY-510-91 Analytics Prin \u0026amp; Appl II ANLY-515-90 Risk Modeling and Assessment ANLY-500-92 Analytics Prin \u0026amp; Appl ANLY-540-90 Analysis of Human Language ANLY-512-51 Data Visualization ANLY-520-51 Sentiment Analysis ANLY-699-91 Applied Project in Analytics CICS-520-50 Data Engineering and Mining ITPM-515-50 Business Analysis Fundamentals ITPM-515-50 Business Analysis Fundamentals MATH-510-50 Applied Statistical Methods Other Courses DATA-521 Tackling Big Data Challenges INST-569 Data and System Security CMSC-512 Computer Architecture TECH-540 Database Management Systems INST-525 Business Intelligence and Data Warehousing TECH-581 E-Business Systems ]`.","tags":null,"title":"Overview","type":"docs"},{"authors":[],"categories":null,"content":" Click on the Slides button above to view the built-in slides feature. Slides can be added in a few ways:\n Create slides using Academic\u0026rsquo;s Slides feature and link using slides parameter in the front matter of the talk file Upload an existing slide deck to static/ and link using url_slides parameter in the front matter of the talk file Embed your slides (e.g. Google Slides) or presentation video on this page using shortcodes. Further talk details can easily be added to this page using Markdown and $\\rm \\LaTeX$ math code.\n","date":1906549200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1906549200,"objectID":"96344c08df50a1b693cc40432115cbe3","permalink":"/talk/example/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/talk/example/","section":"talk","summary":"An example talk using Academic's Markdown slides feature.","tags":[],"title":"Example Talk","type":"talk"},{"authors":null,"categories":null,"content":"Academic is designed to give technical content creators a seamless experience. You can focus on the content and Academic handles the rest.\nHighlight your code snippets, take notes on math classes, and draw diagrams from textual representation.\nOn this page, you\u0026rsquo;ll find some examples of the types of technical content that can be rendered with Academic.\nExamples Code Academic supports a Markdown extension for highlighting code syntax. You can enable this feature by toggling the highlight option in your config/_default/params.toml file.\n```python import pandas as pd data = pd.read_csv(\u0026quot;data.csv\u0026quot;) data.head() ``` renders as\nimport pandas as pd data = pd.read_csv(\u0026quot;data.csv\u0026quot;) data.head() Math Academic supports a Markdown extension for $\\LaTeX$ math. You can enable this feature by toggling the math option in your config/_default/params.toml file.\nTo render inline or block math, wrap your LaTeX math with $...$ or $$...$$, respectively.\nExample math block:\n$$\\gamma_{n} = \\frac{ \\left | \\left (\\mathbf x_{n} - \\mathbf x_{n-1} \\right )^T \\left [\\nabla F (\\mathbf x_{n}) - \\nabla F (\\mathbf x_{n-1}) \\right ] \\right |} {\\left \\|\\nabla F(\\mathbf{x}_{n}) - \\nabla F(\\mathbf{x}_{n-1}) \\right \\|^2}$$ renders as\n$$\\gamma_{n} = \\frac{ \\left | \\left (\\mathbf x_{n} - \\mathbf x_{n-1} \\right )^T \\left [\\nabla F (\\mathbf x_{n}) - \\nabla F (\\mathbf x_{n-1}) \\right ] \\right |}{\\left |\\nabla F(\\mathbf{x}_{n}) - \\nabla F(\\mathbf{x}_{n-1}) \\right |^2}$$\nExample inline math $\\nabla F(\\mathbf{x}_{n})$ renders as $\\nabla F(\\mathbf{x}_{n})$.\nExample multi-line math using the \\\\ math linebreak:\n$$f(k;p_0^*) = \\begin{cases} p_0^* \u0026amp; \\text{if }k=1, \\\\ 1-p_0^* \u0026amp; \\text {if }k=0.\\end{cases}$$ renders as\n$$f(k;p_0^*) = \\begin{cases} p_0^* \u0026amp; \\text{if }k=1, \\\n1-p_0^* \u0026amp; \\text {if }k=0.\\end{cases}$$\nDiagrams Academic supports a Markdown extension for diagrams. You can enable this feature by toggling the diagram option in your config/_default/params.toml file or by adding diagram: true to your page front matter.\nAn example flowchart:\n```mermaid graph TD A[Hard] --\u0026gt;|Text| B(Round) B --\u0026gt; C{Decision} C --\u0026gt;|One| D[Result 1] C --\u0026gt;|Two| E[Result 2] ``` renders as\ngraph TD A[Hard] --\u0026gt;|Text| B(Round) B --\u0026gt; C{Decision} C --\u0026gt;|One| D[Result 1] C --\u0026gt;|Two| E[Result 2] An example sequence diagram:\n```mermaid sequenceDiagram Alice-\u0026gt;\u0026gt;John: Hello John, how are you? loop Healthcheck John-\u0026gt;\u0026gt;John: Fight against hypochondria end Note right of John: Rational thoughts! John--\u0026gt;\u0026gt;Alice: Great! John-\u0026gt;\u0026gt;Bob: How about you? Bob--\u0026gt;\u0026gt;John: Jolly good! ``` renders as\nsequenceDiagram Alice-\u0026gt;\u0026gt;John: Hello John, how are you? loop Healthcheck John-\u0026gt;\u0026gt;John: Fight against hypochondria end Note right of John: Rational thoughts! John--\u0026gt;\u0026gt;Alice: Great! John-\u0026gt;\u0026gt;Bob: How about you? Bob--\u0026gt;\u0026gt;John: Jolly good! An example Gantt diagram:\n```mermaid gantt section Section Completed :done, des1, 2014-01-06,2014-01-08 Active :active, des2, 2014-01-07, 3d Parallel 1 : des3, after des1, 1d Parallel 2 : des4, after des1, 1d Parallel 3 : des5, after des3, 1d Parallel 4 : des6, after des4, 1d ``` renders as\ngantt section Section Completed :done, des1, 2014-01-06,2014-01-08 Active :active, des2, 2014-01-07, 3d Parallel 1 : des3, after des1, 1d Parallel 2 : des4, after des1, 1d Parallel 3 : des5, after des3, 1d Parallel 4 : des6, after des4, 1d An example class diagram:\n```mermaid classDiagram Class01 \u0026lt;|-- AveryLongClass : Cool \u0026lt;\u0026lt;interface\u0026gt;\u0026gt; Class01 Class09 --\u0026gt; C2 : Where am i? Class09 --* C3 Class09 --|\u0026gt; Class07 Class07 : equals() Class07 : Object[] elementData Class01 : size() Class01 : int chimp Class01 : int gorilla class Class10 { \u0026lt;\u0026lt;service\u0026gt;\u0026gt; int id size() } ``` renders as\nclassDiagram Class01 \u0026lt;|-- AveryLongClass : Cool \u0026lt;\u0026lt;interface\u0026gt;\u0026gt; Class01 Class09 --\u0026gt; C2 : Where am i? Class09 --* C3 Class09 --|\u0026gt; Class07 Class07 : equals() Class07 : Object[] elementData Class01 : size() Class01 : int chimp Class01 : int gorilla class Class10 { \u0026lt;\u0026lt;service\u0026gt;\u0026gt; int id size() } An example state diagram:\n```mermaid stateDiagram [*] --\u0026gt; Still Still --\u0026gt; [*] Still --\u0026gt; Moving Moving --\u0026gt; Still Moving --\u0026gt; Crash Crash --\u0026gt; [*] ``` renders as\nstateDiagram [*] --\u0026gt; Still Still --\u0026gt; [*] Still --\u0026gt; Moving Moving --\u0026gt; Still Moving --\u0026gt; Crash Crash --\u0026gt; [*] Todo lists You can even write your todo lists in Academic too:\n- [x] Write math example - [x] Write diagram example - [ ] Do something else renders as\n Write math example Write diagram example Do something else Tables Represent your data in tables:\n| First Header | Second Header | | ------------- | ------------- | | Content Cell | Content Cell | | Content Cell | Content Cell | renders as\n First Header Second Header Content Cell Content Cell Content Cell Content Cell Asides Academic supports a shortcode for asides, also referred to as notices, hints, or alerts. By wrapping a paragraph in {{% alert note %}} ... {{% /alert %}}, it will render as an aside.\n{{% alert note %}} A Markdown aside is useful for displaying notices, hints, or definitions to your readers. {{% /alert %}} renders as\n A Markdown aside is useful for displaying notices, hints, or definitions to your readers. Icons Academic enables you to use a wide range of icons from Font Awesome and Academicons in addition to emojis.\nHere are some examples using the icon shortcode to render icons:\n{{\u0026lt; icon name=\u0026quot;terminal\u0026quot; pack=\u0026quot;fas\u0026quot; \u0026gt;}} Terminal {{\u0026lt; icon name=\u0026quot;python\u0026quot; pack=\u0026quot;fab\u0026quot; \u0026gt;}} Python {{\u0026lt; icon name=\u0026quot;r-project\u0026quot; pack=\u0026quot;fab\u0026quot; \u0026gt;}} R renders as\n Terminal\n Python\n R\nDid you find this page helpful? Consider sharing it π ","date":1562889600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1562889600,"objectID":"07e02bccc368a192a0c76c44918396c3","permalink":"/post/writing-technical-content/","publishdate":"2019-07-12T00:00:00Z","relpermalink":"/post/writing-technical-content/","section":"post","summary":"Academic is designed to give technical content creators a seamless experience. You can focus on the content and Academic handles the rest.\nHighlight your code snippets, take notes on math classes, and draw diagrams from textual representation.","tags":null,"title":"Writing technical content in Academic","type":"post"},{"authors":["Leo (Miao) You"],"categories":null,"content":" Click the Slides button above to demo Academic\u0026rsquo;s Markdown slides feature. Supplementary notes can be added here, including code and math.\n","date":1554595200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1554595200,"objectID":"557dc08fd4b672a0c08e0a8cf0c9ff7d","permalink":"/publication/preprint/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/publication/preprint/","section":"publication","summary":"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.","tags":["Source Themes"],"title":"An example preprint / working paper","type":"publication"},{"authors":["Leo (Miao) You"],"categories":[],"content":"from IPython.core.display import Image Image('https://www.python.org/static/community_logos/python-logo-master-v3-TM-flattened.png') print(\u0026quot;Welcome to Academic!\u0026quot;) Welcome to Academic! Install Python and JupyterLab Install Anaconda which includes Python 3 and JupyterLab.\nAlternatively, install JupyterLab with pip3 install jupyterlab.\nCreate or upload a Jupyter notebook Run the following commands in your Terminal, substituting \u0026lt;MY-WEBSITE-FOLDER\u0026gt; and \u0026lt;SHORT-POST-TITLE\u0026gt; with the file path to your Academic website folder and a short title for your blog post (use hyphens instead of spaces), respectively:\nmkdir -p \u0026lt;MY-WEBSITE-FOLDER\u0026gt;/content/post/\u0026lt;SHORT-POST-TITLE\u0026gt;/ cd \u0026lt;MY-WEBSITE-FOLDER\u0026gt;/content/post/\u0026lt;SHORT-POST-TITLE\u0026gt;/ jupyter lab index.ipynb The jupyter command above will launch the JupyterLab editor, allowing us to add Academic metadata and write the content.\nEdit your post metadata The first cell of your Jupter notebook will contain your post metadata ( front matter).\nIn Jupter, choose Markdown as the type of the first cell and wrap your Academic metadata in three dashes, indicating that it is YAML front matter:\n--- title: My post's title date: 2019-09-01 # Put any other Academic metadata here... --- Edit the metadata of your post, using the documentation as a guide to the available options.\nTo set a featured image, place an image named featured into your post\u0026rsquo;s folder.\nFor other tips, such as using math, see the guide on writing content with Academic.\nConvert notebook to Markdown jupyter nbconvert index.ipynb --to markdown --NbConvertApp.output_files_dir=. Example This post was created with Jupyter. The orginal files can be found at https://github.com/gcushen/hugo-academic/tree/master/exampleSite/content/post/jupyter\n","date":1549324800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1567641600,"objectID":"6e929dc84ed3ef80467b02e64cd2ed64","permalink":"/post/jupyter/","publishdate":"2019-02-05T00:00:00Z","relpermalink":"/post/jupyter/","section":"post","summary":"Learn how to blog in Academic using Jupyter notebooks","tags":[],"title":"Display Jupyter Notebooks with Academic","type":"post"},{"authors":[],"categories":[],"content":"Create slides in Markdown with Academic Academic | Documentation\n Features Efficiently write slides in Markdown 3-in-1: Create, Present, and Publish your slides Supports speaker notes Mobile friendly slides Controls Next: Right Arrow or Space Previous: Left Arrow Start: Home Finish: End Overview: Esc Speaker notes: S Fullscreen: F Zoom: Alt + Click PDF Export: E Code Highlighting Inline code: variable\nCode block:\nporridge = \u0026quot;blueberry\u0026quot; if porridge == \u0026quot;blueberry\u0026quot;: print(\u0026quot;Eating...\u0026quot;) Math In-line math: $x + y = z$\nBlock math:\n$$ f\\left( x \\right) = ;\\frac{{2\\left( {x + 4} \\right)\\left( {x - 4} \\right)}}{{\\left( {x + 4} \\right)\\left( {x + 1} \\right)}} $$\n Fragments Make content appear incrementally\n{{% fragment %}} One {{% /fragment %}} {{% fragment %}} **Two** {{% /fragment %}} {{% fragment %}} Three {{% /fragment %}} Press Space to play!\nOne Two Three \n A fragment can accept two optional parameters:\n class: use a custom style (requires definition in custom CSS) weight: sets the order in which a fragment appears Speaker Notes Add speaker notes to your presentation\n{{% speaker_note %}} - Only the speaker can read these notes - Press `S` key to view {{% /speaker_note %}} Press the S key to view the speaker notes!\n Only the speaker can read these notes Press S key to view Themes black: Black background, white text, blue links (default) white: White background, black text, blue links league: Gray background, white text, blue links beige: Beige background, dark text, brown links sky: Blue background, thin dark text, blue links night: Black background, thick white text, orange links serif: Cappuccino background, gray text, brown links simple: White background, black text, blue links solarized: Cream-colored background, dark green text, blue links Custom Slide Customize the slide style and background\n{{\u0026lt; slide background-image=\u0026quot;/img/boards.jpg\u0026quot; \u0026gt;}} {{\u0026lt; slide background-color=\u0026quot;#0000FF\u0026quot; \u0026gt;}} {{\u0026lt; slide class=\u0026quot;my-style\u0026quot; \u0026gt;}} Custom CSS Example Let\u0026rsquo;s make headers navy colored.\nCreate assets/css/reveal_custom.css with:\n.reveal section h1, .reveal section h2, .reveal section h3 { color: navy; } Questions? Ask\n Documentation\n","date":1549324800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1549324800,"objectID":"0e6de1a61aa83269ff13324f3167c1a9","permalink":"/slides/example/","publishdate":"2019-02-05T00:00:00Z","relpermalink":"/slides/example/","section":"slides","summary":"An introduction to using Academic's Slides feature.","tags":[],"title":"Slides","type":"slides"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"1dd8baf164167bc4c56671af7f960efd","permalink":"/project/campus-recruitment-analysis/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/campus-recruitment-analysis/","section":"project","summary":"Campus Recruitment Data Classification and Regression Analysis","tags":["Educational","Python"],"title":"Campus Recruitment Analysis","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"8a053e7cd54c581db2b98940d5ade11b","permalink":"/project/cvr-contact-rate-analysis/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/cvr-contact-rate-analysis/","section":"project","summary":"CVR Contact Rate Analysis","tags":["Work","R Studio"],"title":"Contact Rate Analysis","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"03818a3d8084a8000fcf401838439f4a","permalink":"/project/covid-19-tracker/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/covid-19-tracker/","section":"project","summary":"US COVID-19 Tracker App","tags":["Educational","R Studio"],"title":"COVID-19 Tracker","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"70a72f5514c318c456629d2c4ab17fe9","permalink":"/project/crime-data-analysis/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/crime-data-analysis/","section":"project","summary":"Analysis on Violent/Non-Violent Crimes in USA","tags":["Educational","R Studio"],"title":"Crime Data Analysis","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"36b9ec766f28bb9220d1e05f33026e33","permalink":"/project/fake-news-classification/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/fake-news-classification/","section":"project","summary":"Build a classifier to identify fake news from real news","tags":["Educational","Python"],"title":"Fake News Classification","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"9e9c023e8393956d2ef1066a735f287f","permalink":"/project/fitbit-activity-dashboard/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/fitbit-activity-dashboard/","section":"project","summary":"Data Visualization using health data from fitbit","tags":["Education","R Studio"],"title":"Fitbit Data Visualization","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"c768168b163f29e76569616e40154787","permalink":"/project/cvr-physician-survey/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/cvr-physician-survey/","section":"project","summary":"CVR Physician Survey Analysis","tags":["Work","R Studio"],"title":"Physician Survey","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"9cee542efee1c436b0662091eaa6ee42","permalink":"/project/us-accident-analysis/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/us-accident-analysis/","section":"project","summary":"Data Visualization and Regression Analysis on US Accident data","tags":["Education","Python"],"title":"US Accident Data Analysis","type":"project"},{"authors":["Leo (Miao) You"],"categories":["Demo"],"content":"Create a free website with Academic using Markdown, Jupyter, or RStudio. Choose a beautiful color theme and build anything with the Page Builder - over 40 widgets, themes, and language packs included!\n Check out the latest demo of what you\u0026rsquo;ll get in less than 10 minutes, or view the showcase of personal, project, and business sites.\n π Get Started π View the documentation π¬ Ask a question on the forum π₯ Chat with the community π¦ Twitter: @source_themes @GeorgeCushen #MadeWithAcademic π‘ Request a feature or report a bug β¬οΈ Updating? View the Update Guide and Release Notes β€ Support development of Academic: βοΈ Donate a coffee π΅ Become a backer on Patreon πΌοΈ Decorate your laptop or journal with an Academic sticker π Wear the T-shirt π©βπ» Contribute Academic is mobile first with a responsive design to ensure that your site looks stunning on every device. Key features:\n Page builder - Create anything with widgets and elements Edit any type of content - Blog posts, publications, talks, slides, projects, and more! Create content in Markdown, Jupyter, or RStudio Plugin System - Fully customizable color and font themes Display Code and Math - Code highlighting and LaTeX math supported Integrations - Google Analytics, Disqus commenting, Maps, Contact Forms, and more! Beautiful Site - Simple and refreshing one page design Industry-Leading SEO - Help get your website found on search engines and social media Media Galleries - Display your images and videos with captions in a customizable gallery Mobile Friendly - Look amazing on every screen with a mobile friendly version of your site Multi-language - 15+ language packs including English, δΈζ, and PortuguΓͺs Multi-user - Each author gets their own profile page Privacy Pack - Assists with GDPR Stand Out - Bring your site to life with animation, parallax backgrounds, and scroll effects One-Click Deployment - No servers. No databases. Only files. Themes Academic comes with automatic day (light) and night (dark) mode built-in. Alternatively, visitors can choose their preferred mode - click the sun/moon icon in the top right of the Demo to see it in action! Day/night mode can also be disabled by the site admin in params.toml.\n Choose a stunning theme and font for your site. Themes are fully customizable.\nEcosystem Academic Admin: An admin tool to import publications from BibTeX or import assets for an offline site Academic Scripts: Scripts to help migrate content to new versions of Academic Install You can choose from one of the following four methods to install:\n one-click install using your web browser (recommended) install on your computer using Git with the Command Prompt/Terminal app install on your computer by downloading the ZIP files install on your computer with RStudio Then personalize and deploy your new site.\nUpdating View the Update Guide.\nFeel free to star the project on Github to help keep track of updates.\nLicense Copyright 2016-present George Cushen.\nReleased under the MIT license.\n","date":1461110400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1555459200,"objectID":"279b9966ca9cf3121ce924dca452bb1c","permalink":"/post/getting-started/","publishdate":"2016-04-20T00:00:00Z","relpermalink":"/post/getting-started/","section":"post","summary":"Create a beautifully simple website in under 10 minutes.","tags":["Academic"],"title":"Academic: the website builder for Hugo","type":"post"},{"authors":["Leo (Miao) You","Robert Ford"],"categories":null,"content":" Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Click the Slides button above to demo Academic\u0026rsquo;s Markdown slides feature. Supplementary notes can be added here, including code and math.\n","date":1441065600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1441065600,"objectID":"966884cc0d8ac9e31fab966c4534e973","permalink":"/publication/journal-article/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/publication/journal-article/","section":"publication","summary":"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.","tags":["Source Themes"],"title":"An example journal article","type":"publication"},{"authors":null,"categories":["R"],"content":" R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.\nYou can embed an R code chunk like this:\nsummary(cars) ## speed dist ## Min. : 4.0 Min. : 2.00 ## 1st Qu.:12.0 1st Qu.: 26.00 ## Median :15.0 Median : 36.00 ## Mean :15.4 Mean : 42.98 ## 3rd Qu.:19.0 3rd Qu.: 56.00 ## Max. :25.0 Max. :120.00 fit \u0026lt;- lm(dist ~ speed, data = cars) fit ## ## Call: ## lm(formula = dist ~ speed, data = cars) ## ## Coefficients: ## (Intercept) speed ## -17.579 3.932 Including Plots You can also embed plots. See Figure 1 for example:\npar(mar = c(0, 1, 0, 1)) pie( c(280, 60, 20), c(\u0026#39;Sky\u0026#39;, \u0026#39;Sunny side of pyramid\u0026#39;, \u0026#39;Shady side of pyramid\u0026#39;), col = c(\u0026#39;#0292D8\u0026#39;, \u0026#39;#F7EA39\u0026#39;, \u0026#39;#C4B632\u0026#39;), init.angle = -50, border = NA ) Figure 1: A fancy pie chart. ","date":1437703994,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1437703994,"objectID":"10065deaa3098b0da91b78b48d0efc71","permalink":"/post/2015-07-23-r-rmarkdown/","publishdate":"2015-07-23T21:13:14-05:00","relpermalink":"/post/2015-07-23-r-rmarkdown/","section":"post","summary":"R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.","tags":["R Markdown","plot","regression"],"title":"Hello R Markdown","type":"post"},{"authors":["Leo (Miao) You","Robert Ford"],"categories":null,"content":" Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Click the Slides button above to demo Academic\u0026rsquo;s Markdown slides feature. Supplementary notes can be added here, including code and math.\n","date":1372636800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1372636800,"objectID":"69425fb10d4db090cfbd46854715582c","permalink":"/publication/conference-paper/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/publication/conference-paper/","section":"publication","summary":"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.","tags":["Source Themes"],"title":"An example conference paper","type":"publication"}]
\ No newline at end of file
+[{"authors":["admin"],"categories":null,"content":"Leo (Miao) You currently an Sales Analyst at Center for Vein Restoration - the largest physician owned vein clinic treating varicose veins and venous insufficiency. As a graduate from University of Maryland in Marketing Analytics and Harrisburg University of Science and Technology in Analytics, Leo (Miao) You\u0026rsquo;s professional passion are data analysis and visualization, statistical modelling, data science and machine learning.\nTechnical Skills\n Programming: SAS, SQL, R Studio, SPSS, Python, Hyperion, MS Visual Studio, Jupyter Notebook Database: SQL Server, Mongo DB BI Tools: Tableau, Power BI Web and Social Media: Google Analytics, Facebook Business Manager Marketing Research: Survey Monkey, Qualtrics Machine Learning: Hadoop, Decision Tree, Random Forest, Clustering, Naive Bayes, Principal Component Analysis, Support Vector Machine Statistical Methods: Linear and Linearizable Regression models, Generalized Linear models: Poisson and Binary models, Choice modeling using Multinomial logit, Segmentation, Targeting and Positioning using Mixture Cluster and Mixture Regression Models, Conjoint Analysis, A/B Testing, Market Demand Forecasting using Bass, Exponential and Trial-Repeat Models Others: Microsoft Office, Sharepoint ","date":1554595200,"expirydate":-62135596800,"kind":"taxonomy","lang":"en","lastmod":1567641600,"objectID":"2525497d367e79493fd32b198b28f040","permalink":"/authors/admin/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/authors/admin/","section":"authors","summary":"Leo (Miao) You currently an Sales Analyst at Center for Vein Restoration - the largest physician owned vein clinic treating varicose veins and venous insufficiency. As a graduate from University of Maryland in Marketing Analytics and Harrisburg University of Science and Technology in Analytics, Leo (Miao) You\u0026rsquo;s professional passion are data analysis and visualization, statistical modelling, data science and machine learning.","tags":null,"title":"Leo (Miao) You","type":"authors"},{"authors":null,"categories":null,"content":"University of Maryland, MS in Marketing Analytics BUMK758F-Market Ethics \u0026amp; Policies BUMK758A-Marketing Forecast BUMK758B-Market-Based Management BUMK758D-Customer Analysis BUMK758E-Statistical Programing BUMK758G-Business Communication BUMK758K-Advanced Marketig Analytics BUMK758L-Marketing Research and Analysis BUMK758M-Retail Analytics BUMK758Q-Action Learning Project BUMK758W-Data Science BUMK758Y-Innovation Analytics Harrisburg University of Science and Technology, MS in Analytics ANLY-506-90 Exploratory Data Analysis ANLY-510-91 Analytics Prin \u0026amp; Appl II ANLY-515-90 Risk Modeling and Assessment ANLY-500-92 Analytics Prin \u0026amp; Appl ANLY-540-90 Analysis of Human Language ANLY-512-51 Data Visualization ANLY-520-51 Sentiment Analysis ANLY-699-91 Applied Project in Analytics CICS-520-50 Data Engineering and Mining ITPM-515-50 Business Analysis Fundamentals ITPM-515-50 Business Analysis Fundamentals MATH-510-50 Applied Statistical Methods Other Courses DATA-521 Tackling Big Data Challenges INST-569 Data and System Security CMSC-512 Computer Architecture TECH-540 Database Management Systems INST-525 Business Intelligence and Data Warehousing TECH-581 E-Business Systems ]`. -- ","date":1536451200,"expirydate":-62135596800,"kind":"section","lang":"en","lastmod":1586476800,"objectID":"59c3ce8e202293146a8a934d37a4070b","permalink":"/courses/example/","publishdate":"2018-09-09T00:00:00Z","relpermalink":"/courses/example/","section":"courses","summary":"University of Maryland, MS in Marketing Analytics BUMK758F-Market Ethics \u0026amp; Policies BUMK758A-Marketing Forecast BUMK758B-Market-Based Management BUMK758D-Customer Analysis BUMK758E-Statistical Programing BUMK758G-Business Communication BUMK758K-Advanced Marketig Analytics BUMK758L-Marketing Research and Analysis BUMK758M-Retail Analytics BUMK758Q-Action Learning Project BUMK758W-Data Science BUMK758Y-Innovation Analytics Harrisburg University of Science and Technology, MS in Analytics ANLY-506-90 Exploratory Data Analysis ANLY-510-91 Analytics Prin \u0026amp; Appl II ANLY-515-90 Risk Modeling and Assessment ANLY-500-92 Analytics Prin \u0026amp; Appl ANLY-540-90 Analysis of Human Language ANLY-512-51 Data Visualization ANLY-520-51 Sentiment Analysis ANLY-699-91 Applied Project in Analytics CICS-520-50 Data Engineering and Mining ITPM-515-50 Business Analysis Fundamentals ITPM-515-50 Business Analysis Fundamentals MATH-510-50 Applied Statistical Methods Other Courses DATA-521 Tackling Big Data Challenges INST-569 Data and System Security CMSC-512 Computer Architecture TECH-540 Database Management Systems INST-525 Business Intelligence and Data Warehousing TECH-581 E-Business Systems ]`.","tags":null,"title":"Overview","type":"docs"},{"authors":[],"categories":null,"content":" Click on the Slides button above to view the built-in slides feature. Slides can be added in a few ways:\n Create slides using Academic\u0026rsquo;s Slides feature and link using slides parameter in the front matter of the talk file Upload an existing slide deck to static/ and link using url_slides parameter in the front matter of the talk file Embed your slides (e.g. Google Slides) or presentation video on this page using shortcodes. Further talk details can easily be added to this page using Markdown and $\\rm \\LaTeX$ math code.\n","date":1906549200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1906549200,"objectID":"96344c08df50a1b693cc40432115cbe3","permalink":"/talk/example/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/talk/example/","section":"talk","summary":"An example talk using Academic's Markdown slides feature.","tags":[],"title":"Example Talk","type":"talk"},{"authors":null,"categories":null,"content":"Academic is designed to give technical content creators a seamless experience. You can focus on the content and Academic handles the rest.\nHighlight your code snippets, take notes on math classes, and draw diagrams from textual representation.\nOn this page, you\u0026rsquo;ll find some examples of the types of technical content that can be rendered with Academic.\nExamples Code Academic supports a Markdown extension for highlighting code syntax. You can enable this feature by toggling the highlight option in your config/_default/params.toml file.\n```python import pandas as pd data = pd.read_csv(\u0026quot;data.csv\u0026quot;) data.head() ``` renders as\nimport pandas as pd data = pd.read_csv(\u0026quot;data.csv\u0026quot;) data.head() Math Academic supports a Markdown extension for $\\LaTeX$ math. You can enable this feature by toggling the math option in your config/_default/params.toml file.\nTo render inline or block math, wrap your LaTeX math with $...$ or $$...$$, respectively.\nExample math block:\n$$\\gamma_{n} = \\frac{ \\left | \\left (\\mathbf x_{n} - \\mathbf x_{n-1} \\right )^T \\left [\\nabla F (\\mathbf x_{n}) - \\nabla F (\\mathbf x_{n-1}) \\right ] \\right |} {\\left \\|\\nabla F(\\mathbf{x}_{n}) - \\nabla F(\\mathbf{x}_{n-1}) \\right \\|^2}$$ renders as\n$$\\gamma_{n} = \\frac{ \\left | \\left (\\mathbf x_{n} - \\mathbf x_{n-1} \\right )^T \\left [\\nabla F (\\mathbf x_{n}) - \\nabla F (\\mathbf x_{n-1}) \\right ] \\right |}{\\left |\\nabla F(\\mathbf{x}_{n}) - \\nabla F(\\mathbf{x}_{n-1}) \\right |^2}$$\nExample inline math $\\nabla F(\\mathbf{x}_{n})$ renders as $\\nabla F(\\mathbf{x}_{n})$.\nExample multi-line math using the \\\\ math linebreak:\n$$f(k;p_0^*) = \\begin{cases} p_0^* \u0026amp; \\text{if }k=1, \\\\ 1-p_0^* \u0026amp; \\text {if }k=0.\\end{cases}$$ renders as\n$$f(k;p_0^*) = \\begin{cases} p_0^* \u0026amp; \\text{if }k=1, \\\n1-p_0^* \u0026amp; \\text {if }k=0.\\end{cases}$$\nDiagrams Academic supports a Markdown extension for diagrams. You can enable this feature by toggling the diagram option in your config/_default/params.toml file or by adding diagram: true to your page front matter.\nAn example flowchart:\n```mermaid graph TD A[Hard] --\u0026gt;|Text| B(Round) B --\u0026gt; C{Decision} C --\u0026gt;|One| D[Result 1] C --\u0026gt;|Two| E[Result 2] ``` renders as\ngraph TD A[Hard] --\u0026gt;|Text| B(Round) B --\u0026gt; C{Decision} C --\u0026gt;|One| D[Result 1] C --\u0026gt;|Two| E[Result 2] An example sequence diagram:\n```mermaid sequenceDiagram Alice-\u0026gt;\u0026gt;John: Hello John, how are you? loop Healthcheck John-\u0026gt;\u0026gt;John: Fight against hypochondria end Note right of John: Rational thoughts! John--\u0026gt;\u0026gt;Alice: Great! John-\u0026gt;\u0026gt;Bob: How about you? Bob--\u0026gt;\u0026gt;John: Jolly good! ``` renders as\nsequenceDiagram Alice-\u0026gt;\u0026gt;John: Hello John, how are you? loop Healthcheck John-\u0026gt;\u0026gt;John: Fight against hypochondria end Note right of John: Rational thoughts! John--\u0026gt;\u0026gt;Alice: Great! John-\u0026gt;\u0026gt;Bob: How about you? Bob--\u0026gt;\u0026gt;John: Jolly good! An example Gantt diagram:\n```mermaid gantt section Section Completed :done, des1, 2014-01-06,2014-01-08 Active :active, des2, 2014-01-07, 3d Parallel 1 : des3, after des1, 1d Parallel 2 : des4, after des1, 1d Parallel 3 : des5, after des3, 1d Parallel 4 : des6, after des4, 1d ``` renders as\ngantt section Section Completed :done, des1, 2014-01-06,2014-01-08 Active :active, des2, 2014-01-07, 3d Parallel 1 : des3, after des1, 1d Parallel 2 : des4, after des1, 1d Parallel 3 : des5, after des3, 1d Parallel 4 : des6, after des4, 1d An example class diagram:\n```mermaid classDiagram Class01 \u0026lt;|-- AveryLongClass : Cool \u0026lt;\u0026lt;interface\u0026gt;\u0026gt; Class01 Class09 --\u0026gt; C2 : Where am i? Class09 --* C3 Class09 --|\u0026gt; Class07 Class07 : equals() Class07 : Object[] elementData Class01 : size() Class01 : int chimp Class01 : int gorilla class Class10 { \u0026lt;\u0026lt;service\u0026gt;\u0026gt; int id size() } ``` renders as\nclassDiagram Class01 \u0026lt;|-- AveryLongClass : Cool \u0026lt;\u0026lt;interface\u0026gt;\u0026gt; Class01 Class09 --\u0026gt; C2 : Where am i? Class09 --* C3 Class09 --|\u0026gt; Class07 Class07 : equals() Class07 : Object[] elementData Class01 : size() Class01 : int chimp Class01 : int gorilla class Class10 { \u0026lt;\u0026lt;service\u0026gt;\u0026gt; int id size() } An example state diagram:\n```mermaid stateDiagram [*] --\u0026gt; Still Still --\u0026gt; [*] Still --\u0026gt; Moving Moving --\u0026gt; Still Moving --\u0026gt; Crash Crash --\u0026gt; [*] ``` renders as\nstateDiagram [*] --\u0026gt; Still Still --\u0026gt; [*] Still --\u0026gt; Moving Moving --\u0026gt; Still Moving --\u0026gt; Crash Crash --\u0026gt; [*] Todo lists You can even write your todo lists in Academic too:\n- [x] Write math example - [x] Write diagram example - [ ] Do something else renders as\n Write math example Write diagram example Do something else Tables Represent your data in tables:\n| First Header | Second Header | | ------------- | ------------- | | Content Cell | Content Cell | | Content Cell | Content Cell | renders as\n First Header Second Header Content Cell Content Cell Content Cell Content Cell Asides Academic supports a shortcode for asides, also referred to as notices, hints, or alerts. By wrapping a paragraph in {{% alert note %}} ... {{% /alert %}}, it will render as an aside.\n{{% alert note %}} A Markdown aside is useful for displaying notices, hints, or definitions to your readers. {{% /alert %}} renders as\n A Markdown aside is useful for displaying notices, hints, or definitions to your readers. Icons Academic enables you to use a wide range of icons from Font Awesome and Academicons in addition to emojis.\nHere are some examples using the icon shortcode to render icons:\n{{\u0026lt; icon name=\u0026quot;terminal\u0026quot; pack=\u0026quot;fas\u0026quot; \u0026gt;}} Terminal {{\u0026lt; icon name=\u0026quot;python\u0026quot; pack=\u0026quot;fab\u0026quot; \u0026gt;}} Python {{\u0026lt; icon name=\u0026quot;r-project\u0026quot; pack=\u0026quot;fab\u0026quot; \u0026gt;}} R renders as\n Terminal\n Python\n R\nDid you find this page helpful? Consider sharing it π ","date":1562889600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1562889600,"objectID":"07e02bccc368a192a0c76c44918396c3","permalink":"/post/writing-technical-content/","publishdate":"2019-07-12T00:00:00Z","relpermalink":"/post/writing-technical-content/","section":"post","summary":"Academic is designed to give technical content creators a seamless experience. You can focus on the content and Academic handles the rest.\nHighlight your code snippets, take notes on math classes, and draw diagrams from textual representation.","tags":null,"title":"Writing technical content in Academic","type":"post"},{"authors":["Leo (Miao) You"],"categories":null,"content":" Click the Slides button above to demo Academic\u0026rsquo;s Markdown slides feature. Supplementary notes can be added here, including code and math.\n","date":1554595200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1554595200,"objectID":"557dc08fd4b672a0c08e0a8cf0c9ff7d","permalink":"/publication/preprint/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/publication/preprint/","section":"publication","summary":"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.","tags":["Source Themes"],"title":"An example preprint / working paper","type":"publication"},{"authors":["Leo (Miao) You"],"categories":[],"content":"from IPython.core.display import Image Image('https://www.python.org/static/community_logos/python-logo-master-v3-TM-flattened.png') print(\u0026quot;Welcome to Academic!\u0026quot;) Welcome to Academic! Install Python and JupyterLab Install Anaconda which includes Python 3 and JupyterLab.\nAlternatively, install JupyterLab with pip3 install jupyterlab.\nCreate or upload a Jupyter notebook Run the following commands in your Terminal, substituting \u0026lt;MY-WEBSITE-FOLDER\u0026gt; and \u0026lt;SHORT-POST-TITLE\u0026gt; with the file path to your Academic website folder and a short title for your blog post (use hyphens instead of spaces), respectively:\nmkdir -p \u0026lt;MY-WEBSITE-FOLDER\u0026gt;/content/post/\u0026lt;SHORT-POST-TITLE\u0026gt;/ cd \u0026lt;MY-WEBSITE-FOLDER\u0026gt;/content/post/\u0026lt;SHORT-POST-TITLE\u0026gt;/ jupyter lab index.ipynb The jupyter command above will launch the JupyterLab editor, allowing us to add Academic metadata and write the content.\nEdit your post metadata The first cell of your Jupter notebook will contain your post metadata ( front matter).\nIn Jupter, choose Markdown as the type of the first cell and wrap your Academic metadata in three dashes, indicating that it is YAML front matter:\n--- title: My post's title date: 2019-09-01 # Put any other Academic metadata here... --- Edit the metadata of your post, using the documentation as a guide to the available options.\nTo set a featured image, place an image named featured into your post\u0026rsquo;s folder.\nFor other tips, such as using math, see the guide on writing content with Academic.\nConvert notebook to Markdown jupyter nbconvert index.ipynb --to markdown --NbConvertApp.output_files_dir=. Example This post was created with Jupyter. The orginal files can be found at https://github.com/gcushen/hugo-academic/tree/master/exampleSite/content/post/jupyter\n","date":1549324800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1567641600,"objectID":"6e929dc84ed3ef80467b02e64cd2ed64","permalink":"/post/jupyter/","publishdate":"2019-02-05T00:00:00Z","relpermalink":"/post/jupyter/","section":"post","summary":"Learn how to blog in Academic using Jupyter notebooks","tags":[],"title":"Display Jupyter Notebooks with Academic","type":"post"},{"authors":[],"categories":[],"content":"Create slides in Markdown with Academic Academic | Documentation\n Features Efficiently write slides in Markdown 3-in-1: Create, Present, and Publish your slides Supports speaker notes Mobile friendly slides Controls Next: Right Arrow or Space Previous: Left Arrow Start: Home Finish: End Overview: Esc Speaker notes: S Fullscreen: F Zoom: Alt + Click PDF Export: E Code Highlighting Inline code: variable\nCode block:\nporridge = \u0026quot;blueberry\u0026quot; if porridge == \u0026quot;blueberry\u0026quot;: print(\u0026quot;Eating...\u0026quot;) Math In-line math: $x + y = z$\nBlock math:\n$$ f\\left( x \\right) = ;\\frac{{2\\left( {x + 4} \\right)\\left( {x - 4} \\right)}}{{\\left( {x + 4} \\right)\\left( {x + 1} \\right)}} $$\n Fragments Make content appear incrementally\n{{% fragment %}} One {{% /fragment %}} {{% fragment %}} **Two** {{% /fragment %}} {{% fragment %}} Three {{% /fragment %}} Press Space to play!\nOne Two Three \n A fragment can accept two optional parameters:\n class: use a custom style (requires definition in custom CSS) weight: sets the order in which a fragment appears Speaker Notes Add speaker notes to your presentation\n{{% speaker_note %}} - Only the speaker can read these notes - Press `S` key to view {{% /speaker_note %}} Press the S key to view the speaker notes!\n Only the speaker can read these notes Press S key to view Themes black: Black background, white text, blue links (default) white: White background, black text, blue links league: Gray background, white text, blue links beige: Beige background, dark text, brown links sky: Blue background, thin dark text, blue links night: Black background, thick white text, orange links serif: Cappuccino background, gray text, brown links simple: White background, black text, blue links solarized: Cream-colored background, dark green text, blue links Custom Slide Customize the slide style and background\n{{\u0026lt; slide background-image=\u0026quot;/img/boards.jpg\u0026quot; \u0026gt;}} {{\u0026lt; slide background-color=\u0026quot;#0000FF\u0026quot; \u0026gt;}} {{\u0026lt; slide class=\u0026quot;my-style\u0026quot; \u0026gt;}} Custom CSS Example Let\u0026rsquo;s make headers navy colored.\nCreate assets/css/reveal_custom.css with:\n.reveal section h1, .reveal section h2, .reveal section h3 { color: navy; } Questions? Ask\n Documentation\n","date":1549324800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1549324800,"objectID":"0e6de1a61aa83269ff13324f3167c1a9","permalink":"/slides/example/","publishdate":"2019-02-05T00:00:00Z","relpermalink":"/slides/example/","section":"slides","summary":"An introduction to using Academic's Slides feature.","tags":[],"title":"Slides","type":"slides"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"1dd8baf164167bc4c56671af7f960efd","permalink":"/project/campus-recruitment-analysis/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/campus-recruitment-analysis/","section":"project","summary":"Campus Recruitment Data Classification and Regression Analysis","tags":["Personal","Python"],"title":"Campus Recruitment Analysis","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"8a053e7cd54c581db2b98940d5ade11b","permalink":"/project/cvr-contact-rate-analysis/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/cvr-contact-rate-analysis/","section":"project","summary":"CVR Contact Rate Analysis","tags":["Work","R Studio"],"title":"Contact Rate Analysis","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"03818a3d8084a8000fcf401838439f4a","permalink":"/project/covid-19-tracker/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/covid-19-tracker/","section":"project","summary":"US COVID-19 Tracker App","tags":["Personal","R Studio"],"title":"COVID-19 Tracker","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"70a72f5514c318c456629d2c4ab17fe9","permalink":"/project/crime-data-analysis/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/crime-data-analysis/","section":"project","summary":"Analysis on Violent/Non-Violent Crimes in USA","tags":["Personal","R Studio"],"title":"Crime Data Analysis","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"36b9ec766f28bb9220d1e05f33026e33","permalink":"/project/fake-news-classification/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/fake-news-classification/","section":"project","summary":"Build a classifier to identify fake news from real news","tags":["Personal","Python"],"title":"Fake News Classification","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"9e9c023e8393956d2ef1066a735f287f","permalink":"/project/fitbit-activity-dashboard/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/fitbit-activity-dashboard/","section":"project","summary":"Data Visualization using health data from fitbit","tags":["Personal","R Studio"],"title":"Fitbit Data Visualization","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"c768168b163f29e76569616e40154787","permalink":"/project/cvr-physician-survey/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/cvr-physician-survey/","section":"project","summary":"CVR Physician Survey Analysis","tags":["Work","R Studio"],"title":"Physician Survey","type":"project"},{"authors":null,"categories":null,"content":"","date":1461715200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1461715200,"objectID":"9cee542efee1c436b0662091eaa6ee42","permalink":"/project/us-accident-analysis/","publishdate":"2016-04-27T00:00:00Z","relpermalink":"/project/us-accident-analysis/","section":"project","summary":"Data Visualization and Regression Analysis on US Accident data","tags":["Personal","Python"],"title":"US Accident Data Analysis","type":"project"},{"authors":["Leo (Miao) You"],"categories":["Demo"],"content":"Create a free website with Academic using Markdown, Jupyter, or RStudio. Choose a beautiful color theme and build anything with the Page Builder - over 40 widgets, themes, and language packs included!\n Check out the latest demo of what you\u0026rsquo;ll get in less than 10 minutes, or view the showcase of personal, project, and business sites.\n π Get Started π View the documentation π¬ Ask a question on the forum π₯ Chat with the community π¦ Twitter: @source_themes @GeorgeCushen #MadeWithAcademic π‘ Request a feature or report a bug β¬οΈ Updating? View the Update Guide and Release Notes β€ Support development of Academic: βοΈ Donate a coffee π΅ Become a backer on Patreon πΌοΈ Decorate your laptop or journal with an Academic sticker π Wear the T-shirt π©βπ» Contribute Academic is mobile first with a responsive design to ensure that your site looks stunning on every device. Key features:\n Page builder - Create anything with widgets and elements Edit any type of content - Blog posts, publications, talks, slides, projects, and more! Create content in Markdown, Jupyter, or RStudio Plugin System - Fully customizable color and font themes Display Code and Math - Code highlighting and LaTeX math supported Integrations - Google Analytics, Disqus commenting, Maps, Contact Forms, and more! Beautiful Site - Simple and refreshing one page design Industry-Leading SEO - Help get your website found on search engines and social media Media Galleries - Display your images and videos with captions in a customizable gallery Mobile Friendly - Look amazing on every screen with a mobile friendly version of your site Multi-language - 15+ language packs including English, δΈζ, and PortuguΓͺs Multi-user - Each author gets their own profile page Privacy Pack - Assists with GDPR Stand Out - Bring your site to life with animation, parallax backgrounds, and scroll effects One-Click Deployment - No servers. No databases. Only files. Themes Academic comes with automatic day (light) and night (dark) mode built-in. Alternatively, visitors can choose their preferred mode - click the sun/moon icon in the top right of the Demo to see it in action! Day/night mode can also be disabled by the site admin in params.toml.\n Choose a stunning theme and font for your site. Themes are fully customizable.\nEcosystem Academic Admin: An admin tool to import publications from BibTeX or import assets for an offline site Academic Scripts: Scripts to help migrate content to new versions of Academic Install You can choose from one of the following four methods to install:\n one-click install using your web browser (recommended) install on your computer using Git with the Command Prompt/Terminal app install on your computer by downloading the ZIP files install on your computer with RStudio Then personalize and deploy your new site.\nUpdating View the Update Guide.\nFeel free to star the project on Github to help keep track of updates.\nLicense Copyright 2016-present George Cushen.\nReleased under the MIT license.\n","date":1461110400,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1555459200,"objectID":"279b9966ca9cf3121ce924dca452bb1c","permalink":"/post/getting-started/","publishdate":"2016-04-20T00:00:00Z","relpermalink":"/post/getting-started/","section":"post","summary":"Create a beautifully simple website in under 10 minutes.","tags":["Academic"],"title":"Academic: the website builder for Hugo","type":"post"},{"authors":["Leo (Miao) You","Robert Ford"],"categories":null,"content":" Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Click the Slides button above to demo Academic\u0026rsquo;s Markdown slides feature. Supplementary notes can be added here, including code and math.\n","date":1441065600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1441065600,"objectID":"966884cc0d8ac9e31fab966c4534e973","permalink":"/publication/journal-article/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/publication/journal-article/","section":"publication","summary":"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.","tags":["Source Themes"],"title":"An example journal article","type":"publication"},{"authors":null,"categories":["R"],"content":" R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.\nYou can embed an R code chunk like this:\nsummary(cars) ## speed dist ## Min. : 4.0 Min. : 2.00 ## 1st Qu.:12.0 1st Qu.: 26.00 ## Median :15.0 Median : 36.00 ## Mean :15.4 Mean : 42.98 ## 3rd Qu.:19.0 3rd Qu.: 56.00 ## Max. :25.0 Max. :120.00 fit \u0026lt;- lm(dist ~ speed, data = cars) fit ## ## Call: ## lm(formula = dist ~ speed, data = cars) ## ## Coefficients: ## (Intercept) speed ## -17.579 3.932 Including Plots You can also embed plots. See Figure 1 for example:\npar(mar = c(0, 1, 0, 1)) pie( c(280, 60, 20), c(\u0026#39;Sky\u0026#39;, \u0026#39;Sunny side of pyramid\u0026#39;, \u0026#39;Shady side of pyramid\u0026#39;), col = c(\u0026#39;#0292D8\u0026#39;, \u0026#39;#F7EA39\u0026#39;, \u0026#39;#C4B632\u0026#39;), init.angle = -50, border = NA ) Figure 1: A fancy pie chart. ","date":1437703994,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1437703994,"objectID":"10065deaa3098b0da91b78b48d0efc71","permalink":"/post/2015-07-23-r-rmarkdown/","publishdate":"2015-07-23T21:13:14-05:00","relpermalink":"/post/2015-07-23-r-rmarkdown/","section":"post","summary":"R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.","tags":["R Markdown","plot","regression"],"title":"Hello R Markdown","type":"post"},{"authors":["Leo (Miao) You","Robert Ford"],"categories":null,"content":" Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Click the Slides button above to demo Academic\u0026rsquo;s Markdown slides feature. Supplementary notes can be added here, including code and math.\n","date":1372636800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1372636800,"objectID":"69425fb10d4db090cfbd46854715582c","permalink":"/publication/conference-paper/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/publication/conference-paper/","section":"publication","summary":"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.","tags":["Source Themes"],"title":"An example conference paper","type":"publication"}]
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diff --git a/public/post/2015-07-23-r-rmarkdown/index.html b/public/post/2015-07-23-r-rmarkdown/index.html
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@@ -821,7 +821,7 @@
Including Plots
Sales Analyst
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My professional interests include marketing and sales analytics, data science and data visualization.
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My professional interests include marketing and sales analytics, data visualization, data science and machine learning.
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License
Sales Analyst
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My professional interests include marketing and sales analytics, data science and data visualization.
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My professional interests include marketing and sales analytics, data visualization, data science and machine learning.
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diff --git a/public/post/jupyter/index.html b/public/post/jupyter/index.html
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@@ -839,7 +839,7 @@
Example
Sales Analyst
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My professional interests include marketing and sales analytics, data science and data visualization.
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My professional interests include marketing and sales analytics, data visualization, data science and machine learning.
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diff --git a/public/post/writing-technical-content/index.html b/public/post/writing-technical-content/index.html
index ec8a563..7fe13e9 100644
--- a/public/post/writing-technical-content/index.html
+++ b/public/post/writing-technical-content/index.html
@@ -1012,7 +1012,7 @@
Did you find this p
Sales Analyst
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My professional interests include marketing and sales analytics, data science and data visualization.
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My professional interests include marketing and sales analytics, data visualization, data science and machine learning.
@@ -1061,11 +1061,28 @@ Sales Analyst
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diff --git a/public/project/campus-recruitment-analysis/index.html b/public/project/campus-recruitment-analysis/index.html
index 5020760..5831e1c 100644
--- a/public/project/campus-recruitment-analysis/index.html
+++ b/public/project/campus-recruitment-analysis/index.html
@@ -693,7 +693,7 @@ Campus Recruitment Analysis
diff --git a/public/project/covid-19-tracker/index.html b/public/project/covid-19-tracker/index.html
index 00c4ca7..3e1b814 100644
--- a/public/project/covid-19-tracker/index.html
+++ b/public/project/covid-19-tracker/index.html
@@ -693,7 +693,7 @@ COVID-19 Tracker
diff --git a/public/project/crime-data-analysis/index.html b/public/project/crime-data-analysis/index.html
index 7332281..2153dcb 100644
--- a/public/project/crime-data-analysis/index.html
+++ b/public/project/crime-data-analysis/index.html
@@ -693,7 +693,7 @@ Crime Data Analysis
diff --git a/public/project/cvr-contact-rate-analysis/index.html b/public/project/cvr-contact-rate-analysis/index.html
index 949e515..f7304b3 100644
--- a/public/project/cvr-contact-rate-analysis/index.html
+++ b/public/project/cvr-contact-rate-analysis/index.html
@@ -819,7 +819,7 @@ Contact Rate Analysis
Sales Analyst
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My professional interests include marketing and sales analytics, data science and data visualization.
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diff --git a/public/project/cvr-physician-survey/index.html b/public/project/cvr-physician-survey/index.html
index 7047b95..4538411 100644
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@@ -819,7 +819,7 @@ Physician Survey
Sales Analyst
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diff --git a/public/project/fake-news-classification/index.html b/public/project/fake-news-classification/index.html
index 520add3..cd8312b 100644
--- a/public/project/fake-news-classification/index.html
+++ b/public/project/fake-news-classification/index.html
@@ -693,7 +693,7 @@ Fake News Classification
diff --git a/public/project/fitbit-activity-dashboard/index.html b/public/project/fitbit-activity-dashboard/index.html
index 8d0331f..7f6fe9b 100644
--- a/public/project/fitbit-activity-dashboard/index.html
+++ b/public/project/fitbit-activity-dashboard/index.html
@@ -693,7 +693,7 @@ Fitbit Data Visualization
diff --git a/public/project/us-accident-analysis/index.html b/public/project/us-accident-analysis/index.html
index 54413b9..7553236 100644
--- a/public/project/us-accident-analysis/index.html
+++ b/public/project/us-accident-analysis/index.html
@@ -693,7 +693,7 @@ US Accident Data Analysis
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Education
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Personal
Python
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US Accident Data Analysis
Sales Analyst
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My professional interests include marketing and sales analytics, data science and data visualization.
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My professional interests include marketing and sales analytics, data visualization, data science and machine learning.
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Related
Fake News Classification
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COVID-19 Tracker
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Crime Data Analysis
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Fitbit Data Visualization
diff --git a/public/publication/conference-paper/index.html b/public/publication/conference-paper/index.html
index c9acad2..0fea00c 100644
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@@ -955,7 +955,7 @@
Abstract
Sales Analyst
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My professional interests include marketing and sales analytics, data science and data visualization.
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My professional interests include marketing and sales analytics, data visualization, data science and machine learning.
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index ee265d0..34fe3b5 100644
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@@ -895,7 +895,7 @@
Abstract
Sales Analyst
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My professional interests include marketing and sales analytics, data science and data visualization.
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My professional interests include marketing and sales analytics, data visualization, data science and machine learning.
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Abstract
Sales Analyst
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My professional interests include marketing and sales analytics, data science and data visualization.
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My professional interests include marketing and sales analytics, data visualization, data science and machine learning.
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diff --git a/public/sitemap.xml b/public/sitemap.xml
index 4eca930..35961bc 100644
--- a/public/sitemap.xml
+++ b/public/sitemap.xml
@@ -123,22 +123,17 @@
- /tags/education/
- 2016-04-27T00:00:00+00:00
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-
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+ /project/fake-news-classification/
2016-04-27T00:00:00+00:00
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+ /project/fitbit-activity-dashboard/
2016-04-27T00:00:00+00:00
- /project/fitbit-activity-dashboard/
+ /tags/personal/
2016-04-27T00:00:00+00:00
diff --git a/public/tags/education/index.html b/public/tags/education/index.html
index adb5fb7..97b497e 100644
--- a/public/tags/education/index.html
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@@ -546,21 +546,6 @@
Education
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diff --git a/public/tags/education/index.xml b/public/tags/education/index.xml
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@@ -12,14 +12,6 @@
/tags/education/
-
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Fitbit Data Visualization
- /project/fitbit-activity-dashboard/
- Wed, 27 Apr 2016 00:00:00 +0000
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US Accident Data Analysis
/project/us-accident-analysis/
diff --git a/public/tags/educational/index.html b/public/tags/educational/index.html
index 94bbbdb..84d3658 100644
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@@ -546,51 +546,6 @@ Educational
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diff --git a/public/tags/educational/index.xml b/public/tags/educational/index.xml
index 0799446..896fb87 100644
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@@ -12,30 +12,6 @@
/tags/educational/
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Campus Recruitment Analysis
- /project/campus-recruitment-analysis/
- Wed, 27 Apr 2016 00:00:00 +0000
- /project/campus-recruitment-analysis/
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COVID-19 Tracker
- /project/covid-19-tracker/
- Wed, 27 Apr 2016 00:00:00 +0000
- /project/covid-19-tracker/
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Crime Data Analysis
- /project/crime-data-analysis/
- Wed, 27 Apr 2016 00:00:00 +0000
- /project/crime-data-analysis/
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Fake News Classification
/project/fake-news-classification/
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Personal | Leo (Miao) You Portfolio
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+ About me
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Personal
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+ Campus Recruitment Data Classification and Regression Analysis
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+ US COVID-19 Tracker App
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+ Analysis on Violent/Non-Violent Crimes in USA
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+ Build a classifier to identify fake news from real news
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+ Data Visualization using health data from fitbit
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+ Data Visualization and Regression Analysis on US Accident data
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diff --git a/public/tags/personal/index.xml b/public/tags/personal/index.xml
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+ Personal | Leo (Miao) You Portfolio
+ /tags/personal/
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+ Personal
+ Source Themes Academic (https://sourcethemes.com/academic/) en-us Wed, 27 Apr 2016 00:00:00 +0000
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+ /images/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_2.png
+ Personal
+ /tags/personal/
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+ -
+
Campus Recruitment Analysis
+ /project/campus-recruitment-analysis/
+ Wed, 27 Apr 2016 00:00:00 +0000
+ /project/campus-recruitment-analysis/
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+ -
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COVID-19 Tracker
+ /project/covid-19-tracker/
+ Wed, 27 Apr 2016 00:00:00 +0000
+ /project/covid-19-tracker/
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+ -
+
Crime Data Analysis
+ /project/crime-data-analysis/
+ Wed, 27 Apr 2016 00:00:00 +0000
+ /project/crime-data-analysis/
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+ -
+
Fake News Classification
+ /project/fake-news-classification/
+ Wed, 27 Apr 2016 00:00:00 +0000
+ /project/fake-news-classification/
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+ -
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Fitbit Data Visualization
+ /project/fitbit-activity-dashboard/
+ Wed, 27 Apr 2016 00:00:00 +0000
+ /project/fitbit-activity-dashboard/
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+
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+ -
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US Accident Data Analysis
+ /project/us-accident-analysis/
+ Wed, 27 Apr 2016 00:00:00 +0000
+ /project/us-accident-analysis/
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diff --git a/public/tags/personal/page/1/index.html b/public/tags/personal/page/1/index.html
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/tags/personal/
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Abstract
Sales Analyst
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My professional interests include marketing and sales analytics, data science and data visualization.
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My professional interests include marketing and sales analytics, data visualization, data science and machine learning.
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