Table of Contents Supervised Learning Linear Regression一Page 1 Logistic Regression一Page 8 Naive Bayes一Page 12Support Vector Machines一Page 15 Decision fees一Page 24 K-Nearest Neighbors一Page 32Machine Learning in Practice Bias-Variance }adeoff一Page 36 How to Select a Model一Page 43 How to Select Features一Page 48 Regularizing Your Model一Page 52Ensembling: How to Combine Your Models一Page 56 Evaluation Metrics一Page 62 Unsupervised Learning Market Basket Analysis一Page 66 K-Means Clustering一Page 70Principal Components Analysis一Page 75 Deep Learning Feedforward Neural Networks一Page 80Grab Bag of Neural Network Practices一Page 90 Convolutional Neural Networks一Page 99 Recurrent Neural Networks一Page 112