ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
馃 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Appears on
Quick read
Latest capture 2026-08-03 03:12
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
6 observed captures since 2026-05-25. Observed captures are shown by default.
Stars from first capture +161
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
A curated list of all machine learning algorithms and deep learning algorithms grouped by category.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
code for deep learning courses
Implementation of all RL algorithms in a simpler way