Comprehensive scikit-learn ML handbook with 24 runnable Jupyter notebooks using built-in datasets. Covers regression, classification, ensembles, clustering, dimensionality reduction, and production pipelines - from beginner to senior level.

These examples provide an introduction to Data Science and classic Machine Learning using NumPy, pandas, Matplotlib, and scikit-learn. They are taken, with some changes, from the book "Python Data Science Handbook: Essential Tools for Working with Data", Second Edition, written by Jake VanderPlas and published by O'Reilly Media in 2023.

Python Data Science Handbook — your magic guide to mastering data. It teaches you how to analyze numbers, visualize insights, and dive into machine learning using NumPy, Pandas, Matplotlib, and Scikit-learn. In short, it’s your best companion on the road to becoming a Data Scientist.