Helps you build a strong foundation for entering the world of machine learning and data science. This book shows you how to acquaint yourself with important elements of Machine Learning; understand the feature selection and feature engineering process; and assess performance and error trade-offs of Linear Regression, among others.

This book is your guide to quickly get to grips with the most widely used machine learning algorithms. As a data science professional, this book will help you design and train better machine learning models to solve a variety of complex problems, and make the machine learn your requirements.