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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

A book by Aurélien Géron



Notebooks

Chapter 1 - The Machine Learning Landscape

Chapter 2 - End-to-End Machine Learning Project

Chapter 3 - Classification

Chapter 4 - Training Models

Chapter 5 - Support Vector Machines

Chapter 6 - Decision Trees

Chapter 7 - Ensemble Learning and Random Forests

Chapter 8 - Dimensionality Reduction

Chapter 9 - Unsupervised Learning Techniques

Chapter 10 - Introduction to Artificial Neural Networks with Keras

Chapter 11 - Training Deep Neural Networks

Chapter 12 - Custom Models and Training with TensorFlow

Chapter 13 - Loading and Preprocessing with TensorFlow

Chapter 14 - Deep Computer Vision Using Convolutional Neural Networks

Chapter 15 - Processing Sequences Using RNNs and CNNs

Chapter 16 - Natural Language Processing with RNNs and Attention

Chapter 17 - Representation Learning and Generative Learning Using Autoencoders and GANs

Chapter 18 - Reinforcement Learning

  • Reinforcement Learning.ipynb (To be updated)

Chapter 19 - Training and Deploying TensorFlow Models at Scale

  • Training and Deploying.ipynb (To be updated)