The following are python, statistics, and machine learning drop-down guides for resources, to assist you during your data science journey for learning and creating projects. 👍
Looking for data? ❓ Open Data Sets here.
Looking for markdown? 📔 Markdown references here.
Looking for sample data sets to practice? 📁 Sample data set references here.
Looking for project guidelines? 📚 Project Guidelines here.
Statistics Resources 📋
Code Challenge Websites ❔
Data Science Textbooks ✨
- Data Analysis and Github Repo
- Feature Engineering and Github Repo
- Machine Learning and Github Repo
- Python Data Science Handbook and Github Repo
- Introduction to ML/Deep Learning and Github Repo
- Deep Learning with Python and Github Repo
- Tensorflow Deep Learning Cookbook and Github Repo
- Image Processing - Python and Github Repo
- Deep Learning - Goodfellow and Resources
Github Resources 🚫
Interview Resources 📓
Interesting Ad Hoc Resources 💭
License
To the extent possible under law, David Yakobovitch has licensed this work under Creative Commons, 4.0-NC-ND. This license is the most restrictive of Creative Commons six main licenses, only allowing others to download your works and share them with others as long as they credit the author, but they can’t change them in any way or use them commercially.
React
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Facebook
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D3
Tencent