Learning Note about Hands-On Machine Learning with Scikit-Learn & TensorFlow Contents Chapter 01:The Machine Learning Landscape Chapter 02: End-to-End Machine Learning Project Chapter 03: Classification Chapter 04: Training Models Chapter 05: Suport Vector �Machine Chapter 06: Decsion Tree Chapter 07: Ensemble Learning and Regression Tree Chapter 08: Dimensionality Reduction Chapter 09: Up and Running with TensorFlow Chapter 10: Introduction to Artificial Neural Network Chapter 11: Training Deep Neural Nets Chapter 13: Convolutional Neural Network Chapter 14: Recurrent Neural Network Chapter 15: Autoencoders