-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathAbout the Authors.html
386 lines (321 loc) · 15.1 KB
/
About the Authors.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
<title>Acknowledgement — Data Science Notes</title>
<link href="_static/css/theme.css" rel="stylesheet">
<link href="_static/css/index.ff1ffe594081f20da1ef19478df9384b.css" rel="stylesheet">
<link rel="stylesheet"
href="_static/vendor/fontawesome/5.13.0/css/all.min.css">
<link rel="preload" as="font" type="font/woff2" crossorigin
href="_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2">
<link rel="preload" as="font" type="font/woff2" crossorigin
href="_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2">
<link rel="stylesheet" type="text/css" href="_static/pygments.css" />
<link rel="stylesheet" type="text/css" href="_static/sphinx-book-theme.css?digest=c3fdc42140077d1ad13ad2f1588a4309" />
<link rel="stylesheet" type="text/css" href="_static/togglebutton.css" />
<link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
<link rel="stylesheet" type="text/css" href="_static/mystnb.css" />
<link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css" />
<link rel="stylesheet" type="text/css" href="_static/panels-main.c949a650a448cc0ae9fd3441c0e17fb0.css" />
<link rel="stylesheet" type="text/css" href="_static/panels-variables.06eb56fa6e07937060861dad626602ad.css" />
<link rel="preload" as="script" href="_static/js/index.be7d3bbb2ef33a8344ce.js">
<script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
<script src="_static/jquery.js"></script>
<script src="_static/underscore.js"></script>
<script src="_static/doctools.js"></script>
<script src="_static/togglebutton.js"></script>
<script src="_static/clipboard.min.js"></script>
<script src="_static/copybutton.js"></script>
<script>var togglebuttonSelector = '.toggle, .admonition.dropdown, .tag_hide_input div.cell_input, .tag_hide-input div.cell_input, .tag_hide_output div.cell_output, .tag_hide-output div.cell_output, .tag_hide_cell.cell, .tag_hide-cell.cell';</script>
<script src="_static/sphinx-book-theme.12a9622fbb08dcb3a2a40b2c02b83a57.js"></script>
<script async="async" src="https://unpkg.com/[email protected]/lib/index.js"></script>
<script>
const thebe_selector = ".thebe"
const thebe_selector_input = "pre"
const thebe_selector_output = ".output"
</script>
<script async="async" src="_static/sphinx-thebe.js"></script>
<link rel="index" title="Index" href="genindex.html" />
<link rel="search" title="Search" href="search.html" />
<link rel="prev" title="Principal Component Analysis" href="12.%20PCA.html" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="docsearch:language" content="None">
<!-- Google Analytics -->
</head>
<body data-spy="scroll" data-target="#bd-toc-nav" data-offset="80">
<div class="container-fluid" id="banner"></div>
<div class="container-xl">
<div class="row">
<div class="col-12 col-md-3 bd-sidebar site-navigation show" id="site-navigation">
<div class="navbar-brand-box">
<a class="navbar-brand text-wrap" href="index.html">
<!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
<img src="_static/logo.svg" class="logo" alt="logo">
<h1 class="site-logo" id="site-title">Data Science Notes</h1>
</a>
</div><form class="bd-search d-flex align-items-center" action="search.html" method="get">
<i class="icon fas fa-search"></i>
<input type="search" class="form-control" name="q" id="search-input" placeholder="Search this book..." aria-label="Search this book..." autocomplete="off" >
</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
<div class="bd-toc-item active">
<ul class="nav bd-sidenav">
<li class="toctree-l1">
<a class="reference internal" href="intro.html">
Introduction
</a>
</li>
</ul>
<p aria-level="2" class="caption" role="heading">
<span class="caption-text">
Machine Learning
</span>
</p>
<ul class="nav bd-sidenav">
<li class="toctree-l1">
<a class="reference internal" href="1.1%20Introduction%20to%20Numpy.html">
Numpy
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="1.2%20Introduction%20to%20Matplotlib.html">
Matplotlib: Visualization with Python
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="1.3%20Introduction%20to%20Pandas.html">
Pandas
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="2.%20KNN.html">
K - Nearest Neighbour
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="3.1%20Linear%20Regression.html">
Linear Regression
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="3.2%20Multi-Variate%20Regression.html">
Multi Variable Regression
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="3.3%20MLE%20-%20Linear%20Regression.html">
MLE - Linear Regression
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="3.4%20GLM%20-%20Linear%20Regression.html">
Generalised linear model-Linear Regression
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="4.%20Gradient%20Descent.html">
Gradient Descent
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="5.1%20%20Logistic%20Regression.html">
Logistic Regression
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="5.2%20Maximum%20Likelihood%20Estimation%20and%20Implementation.html">
Logistic Regression MLE & Implementation
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="6.%20Decision%20Trees.html">
Decision Tree Algorithm
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="7.%20Ensemble.html">
Ensemble Learning
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="9.1%20Naive%20Bayes.html">
Naive Bayes Algorithm
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="9.2%20Multinomial%20Naive%20Bayes.html">
Multinomial Naive Bayes
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="11.%20Imbalanced%20Dataset.html">
Imbalanced Dataset
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="12.%20PCA.html">
Principal Component Analysis
</a>
</li>
</ul>
<p aria-level="2" class="caption" role="heading">
<span class="caption-text">
About
</span>
</p>
<ul class="current nav bd-sidenav">
<li class="toctree-l1 current active">
<a class="current reference internal" href="#">
Acknowledgement
</a>
</li>
</ul>
</div>
</nav> <!-- To handle the deprecated key -->
<div class="navbar_extra_footer">
Powered by <a href="https://jupyterbook.org">Jupyter Book</a>
</div>
</div>
<main class="col py-md-3 pl-md-4 bd-content overflow-auto" role="main">
<div class="topbar container-xl fixed-top">
<div class="topbar-contents row">
<div class="col-12 col-md-3 bd-topbar-whitespace site-navigation show"></div>
<div class="col pl-md-4 topbar-main">
<button id="navbar-toggler" class="navbar-toggler ml-0" type="button" data-toggle="collapse"
data-toggle="tooltip" data-placement="bottom" data-target=".site-navigation" aria-controls="navbar-menu"
aria-expanded="true" aria-label="Toggle navigation" aria-controls="site-navigation"
title="Toggle navigation" data-toggle="tooltip" data-placement="left">
<i class="fas fa-bars"></i>
<i class="fas fa-arrow-left"></i>
<i class="fas fa-arrow-up"></i>
</button>
<div class="dropdown-buttons-trigger">
<button id="dropdown-buttons-trigger" class="btn btn-secondary topbarbtn" aria-label="Download this page"><i
class="fas fa-download"></i></button>
<div class="dropdown-buttons">
<!-- ipynb file if we had a myst markdown file -->
<!-- Download raw file -->
<a class="dropdown-buttons" href="_sources/About the Authors.md"><button type="button"
class="btn btn-secondary topbarbtn" title="Download source file" data-toggle="tooltip"
data-placement="left">.md</button></a>
<!-- Download PDF via print -->
<button type="button" id="download-print" class="btn btn-secondary topbarbtn" title="Print to PDF"
onClick="window.print()" data-toggle="tooltip" data-placement="left">.pdf</button>
</div>
</div>
<!-- Source interaction buttons -->
<!-- Full screen (wrap in <a> to have style consistency -->
<a class="full-screen-button"><button type="button" class="btn btn-secondary topbarbtn" data-toggle="tooltip"
data-placement="bottom" onclick="toggleFullScreen()" aria-label="Fullscreen mode"
title="Fullscreen mode"><i
class="fas fa-expand"></i></button></a>
<!-- Launch buttons -->
</div>
<!-- Table of contents -->
<div class="d-none d-md-block col-md-2 bd-toc show">
<div class="tocsection onthispage pt-5 pb-3">
<i class="fas fa-list"></i> Contents
</div>
<nav id="bd-toc-nav" aria-label="Page">
<ul class="visible nav section-nav flex-column">
<li class="toc-h2 nav-item toc-entry">
<a class="reference internal nav-link" href="#about-the-authors">
About the authors
</a>
</li>
<li class="toc-h2 nav-item toc-entry">
<a class="reference internal nav-link" href="#contributors">
Contributors
</a>
<ul class="nav section-nav flex-column">
<li class="toc-h3 nav-item toc-entry">
<a class="reference internal nav-link" href="#how-to-contribute">
How to contribute?
</a>
</li>
</ul>
</li>
</ul>
</nav>
</div>
</div>
</div>
<div id="main-content" class="row">
<div class="col-12 col-md-9 pl-md-3 pr-md-0">
<div>
<section class="tex2jax_ignore mathjax_ignore" id="acknowledgement">
<h1>Acknowledgement<a class="headerlink" href="#acknowledgement" title="Permalink to this headline">¶</a></h1>
<p>This book is compiled and authored by two students of Coding Blocks’s <a class="reference external" href="https://codingblocks.com/live-courses/master-data-science-with-python.html"><strong>Data Science Master Course</strong></a>. There work has played a pivotal role in shaping the content of this book and we at Coding Blocks appreciate their hardwork and commitment.</p>
<section id="about-the-authors">
<h2>About the authors<a class="headerlink" href="#about-the-authors" title="Permalink to this headline">¶</a></h2>
<p><strong>Vipul Bansal</strong> and <strong>Navneet Upadhyay</strong> are two learners from Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi, India. They both have great interests in the field of technology and they love making their contributions in this vast field. They both have innate understanding of the Machine Learning concepts and with utmost care and dedication, they’ve conveyed their knowledge through this book.</p>
<p>Vipul Bansal is a Tech Enthusiast. His interest lies basically in the field of software development. He really enjoys telling his fellow companions about the field of technology, and he himself loves to explore the various types of technologies. Apart from the tech stuffs, he is also fond of graphic designing & creating sketch arts.</p>
<p>Navneet Upadhyay is a programmer by passion. His areas of interest are Machine Learning and Deep Learning. He likes to explore and experiment with new technologies. He has impressive skills in problem solving and software development. He really enjoys discussing about new ideas and future scopes of technologies and its effects with his fellow programmers and friends. In his free time he likes to listen to music and surf internet.</p>
</section>
<section id="contributors">
<h2>Contributors<a class="headerlink" href="#contributors" title="Permalink to this headline">¶</a></h2>
<p>We appreciate the effort from all the other contributors for their continuous valuable guidance and expertise. We hope this list goes on.</p>
<ul class="simple">
<li><p><a class="reference external" href="https://www.manuspillai.in/">Manu S Pillai</a></p></li>
</ul>
<section id="how-to-contribute">
<span id="contri"></span><h3>How to contribute?<a class="headerlink" href="#how-to-contribute" title="Permalink to this headline">¶</a></h3>
<p>The topics covered and the contents provided in this book is in active development. If you find any mistakes, want to report missing topics/information or wish to contribute new topics or articles,</p>
<p>Write a mail to:</p>
<ul class="simple">
<li><p><a class="reference external" href="mailto:manu.pillai%40codingblocks.com">manu<span>.</span>pillai<span>@</span>codingblocks<span>.</span>com</a></p></li>
<li><p><a class="reference external" href="mailto:support%40codingblocks.com">support<span>@</span>codingblocks<span>.</span>com</a></p></li>
<li><p><a class="reference external" href="mailto:nvnt160%40gmail.com">nvnt160<span>@</span>gmail<span>.</span>com</a></p></li>
<li><p><a class="reference external" href="mailto:vmbansal2001%40gmail.com">vmbansal2001<span>@</span>gmail<span>.</span>com</a></p></li>
</ul>
<p>with subject: <code class="docutils literal notranslate"><span class="pre">[CONTRIBUTION-THE-DS-BOOK]</span></code></p>
</section>
</section>
</section>
<script type="text/x-thebe-config">
{
requestKernel: true,
binderOptions: {
repo: "binder-examples/jupyter-stacks-datascience",
ref: "master",
},
codeMirrorConfig: {
theme: "abcdef",
mode: "python"
},
kernelOptions: {
kernelName: "python3",
path: "./."
},
predefinedOutput: true
}
</script>
<script>kernelName = 'python3'</script>
</div>
<!-- Previous / next buttons -->
<div class='prev-next-area'>
<a class='left-prev' id="prev-link" href="12.%20PCA.html" title="previous page">
<i class="fas fa-angle-left"></i>
<div class="prev-next-info">
<p class="prev-next-subtitle">previous</p>
<p class="prev-next-title">Principal Component Analysis</p>
</div>
</a>
</div>
</div>
</div>
<footer class="footer">
<div class="container">
<p>
By Coding Blocks Pvt Ltd<br/>
© Copyright 2021.<br/>
</p>
</div>
</footer>
</main>
</div>
</div>
<script src="_static/js/index.be7d3bbb2ef33a8344ce.js"></script>
</body>
</html>