By working on different projects with repeatable steps, you will have the blueprints and the effective strategies to code and design prediction models using your own data.
Who is this book for?The book is designed for beginners with basic background knowledge of machine learning, including common algorithms such as logistic regression and decision trees. For a gentle explanation of machine learning theory minus the code, we suggest reading the first book in this series Machine Learning for Absolute Beginners (Third Edition), which is written for a more general audience.In this step-by-step guide you will learn: - How to code a machine learning prediction model using a range of algorithms including logistic regression, gradient boosting, and decision trees.