Machine Learning With Python

A model that scores 97 percent in a notebook can still fail the first week it meets real data. This book shows you how to build classical machine learning models in Python that hold up. You prepare messy tables with pandas, split data into training, validation and test sets, and learn exactly how data leakage inflates scores. You fit and judge regression and classification models, measure rare-cla...