calls scikit-learn-mooc “Choose for the official, up-to-date scikit-learn MOOC notebooks, refreshed for current sklearn releases.”
Notebooks and code for the book "Introduction to Machine Learning with Python"
scikit-learn-mooc is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named scikit-learn-mooc among their alternatives. The relationship is not symmetric — how scikit-learn-mooc rates them is a separate judgement, made when scikit-learn-mooc is analysed in its own right.
calls scikit-learn-mooc “Choose for the official, up-to-date scikit-learn MOOC notebooks, refreshed for current sklearn releases.”
Notebooks and code for the book "Introduction to Machine Learning with Python"
calls scikit-learn-mooc “Choose for a structured MOOC with videos and quizzes, focused solely on scikit-learn (no deep learning).”
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
calls scikit-learn-mooc “narrower: dedicated scikit-learn MOOC, not the full data science stack”
Python Data Science Handbook: full text in Jupyter Notebooks