Welcome to my DataScienceDiaries, an exciting journey through my adventures in the diverse and dynamic field of Data Science.
This repository is a comprehensive collection of my work in Data Science, showcasing my skills in Machine Learning, Data Analysis, Data Visualization, Predictive Modeling, Statistical Analysis and much more.
Thanks to the guide, provided by "Practicum Bootcamp" for an inspiration. Another peace of inspiration "Release Early, Release Often"
What's Inside? 📁 In this repository, you will find a series of Jupyter notebooks, Python scripts, R scripts, datasets, models, and visualizations that I've created while exploring and learning various data science concepts and tools. Each project has its own dedicated folder, replete with all the necessary materials and a detailed README to guide you through.
1. Mind-Map🧠🗺️
This is your go-to hub for all resources, links, and tools that I've found incredibly useful throughout my data science journey
Description about the project.
Description about the project.
... and more to come!
Here are some of the technologies and tools that I've used in the projects contained within this repository:
Python, R Pandas, NumPy, SciPy Scikit-Learn, TensorFlow, Keras Matplotlib, Seaborn, Plotly Jupyter Notebook, RStudio SQL, MongoDB Docker, AWS, Google Cloud
Feel free to connect with me on LinkedIn. I'm always eager to engage with fellow data enthusiasts, learn from others, and explore potential collaborations.
This project is licensed under the terms of the MIT license.