An Introduction to Statistical Learning: With Applications in Python (Hardcover)

Introduction.- Statistical Learning.- Linear Regression.- Classification.- Resampling Methods.- Linear Model Selection and Regularization.- Moving Beyond Linearity.- Tree-Based Methods.- Support Vector Machines.- Deep Learning.-?Survival Analysis and Censored data.- Unsupervised Learning.- Multiple Testing.- Index.