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

A book by Aurélien Géron

Notebooks

Chapter 1 - The Machine Learning Landscape

• Predicting Life Satisfaction using GDP per capita.ipynb

Chapter 2 - End-to-End Machine Learning Project

• Predicting Housing Prices.ipynb

Chapter 3 - Classification

• Building Classifiers on MNIST.ipynb

Chapter 4 - Training Models

• Linear, Polynomial, Logistic, and Softmax Regressions.ipynb

Chapter 5 - Support Vector Machines

• Support Vector Machines.ipynb

Chapter 6 - Decision Trees

• Decision Trees.ipynb

Chapter 7 - Ensemble Learning and Random Forests

• Ensemble Learning and Random Forests.ipynb

Chapter 8 - Dimensionality Reduction

• PCA, Kernel PCA, and LLE.ipynb

Chapter 9 - Unsupervised Learning Techniques

• Clustering: K-Means and DBSCAN.ipynb
• Gaussian Mixtures.ipynb

Chapter 10 - Introduction to Artificial Neural Networks with Keras

• Implementing MLP and Fine-Tuning NN Hyperparameters.ipynb

Chapter 11 - Training Deep Neural Networks

• Vanishing/Exploding Gradients Problems.ipynb
• Transfer Learning and Unsupervised Pretraining.ipynb
• Faster Optimizers.ipynb
• Popular Regularization Techniques for Large NNs.ipynb

Chapter 12 - Custom Models and Training with TensorFlow

• Tensors and Operations.ipynb
• Custom Models and Training.ipynb

Chapter 13 - Loading and Preprocessing with TensorFlow

• Loading and Preprocessing Data.ipynb

Chapter 14 - Deep Computer Vision Using Convolutional Neural Networks

• Deep Computer Vision Using CNNs.ipynb

Chapter 15 - Processing Sequences Using RNNs and CNNs

• Processing Sequences Using RNNs and CNNs.ipynb

Chapter 16 - Natural Language Processing with RNNs and Attention

• NLP with RNNs and Attention.ipynb

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

• Autoencoders and GANs.ipynb

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)