Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Website GitHub Content Part I. The Fundamentals of Machine Learning Machine Learning Landscape End-to End Machine Learning Project Classification Training Models Support Vector Machines Decision Trees Esemble Learning and Random Forests Dimensionality Reduction Unsupervised Learning Techniques Part II. Neural Networks and Deep Learning Introduction to Artificial Neural Networks with Keras Training Deep Neural Networks References Website GitHub Other books Hands-on Machine Learning with Scikit-Learn and Pytorch