scikit-learn Cookbook , Second Edition - Second Edition

Preface

Starting with installing and setting up scikit-learn, this book contains highly practical recipes on common supervised and unsupervised machine learning concepts. Acquire your data for analysis; select the necessary features for your model; and implement popular techniques such as linear models, classification, regression, clustering, and more in no time at all! The book also contains recipes on evaluating and fine-tuning the performance of your model. The recipes contain both the underlying motivations and theory for trying a technique, plus all the code in detail.

"Premature optimization is the root of all evil"

                                                                                                               - Donald ...