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Python Data Science Handbook: full text in Jupyter Notebooks
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Data and code behind the articles and graphics at FiveThirtyEight
Companion webpage to the book "Mathematics For Machine Learning"
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Recipes for using Python's pandas library
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
Code, data, and instructions for mapping orbits of asteroids in the solar system
An introduction to network analysis and applied graph theory using Python and NetworkX
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
The textbook Computational and Inferential Thinking: The Foundations of Data Science
A collection of Jupyter notebooks for learning Python from the ground up.
This is the code for "Mathematcs of Machine Learning" by Siraj Raval on Youtube
There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
Heatmap visualisation for the r/Place 2022 event
#30DayChartChallenge contribution
Decision Tree from Scratch in Python
The Downfall of Game of Thrones Ratings
DIgital Fellow's WebScraping Tutorials