// the find
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
The notebooks that accompanied the first edition of Aurélien Géron's O'Reilly book, covering ML fundamentals with scikit-learn and TensorFlow 1.x. Explicitly deprecated — the author points everyone to the third edition (handson-ml3) and a PyTorch variant. This repo is a historical artifact at this point.
The chapter coverage is thorough for its era: linear models through reinforcement learning, with bonus notebooks on capsule networks, autodiff internals, and gradient descent comparisons that still hold pedagogical value. The end-to-end California housing project in notebook 02 remains one of the cleaner worked examples of the full ML workflow in a single notebook. Docker setup is included and reasonably complete for running locally without fighting conda.
TensorFlow 1.x is the target runtime — none of this code runs as-is on TF2 without the compat shims, and even then it's awkward. Python 3.7 is pinned in the FAQ as the recommendation, which is three major versions behind and EOL. Transformer architectures, diffusion models, and anything post-2017 are simply absent — the field moved fast and this repo didn't follow. The canonical successor (handson-ml3) covers all of this with modern APIs, so there is no reason to start here.