Feature Engineering Made Easy

by Sinan Özdemir, Divya Susarla

Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire journey of feature engineering that will make your machine learning much more systematic and effective. You will start with understanding your data—often success of your ML models depend on how you leverage different types of features, such as continuous, categorical, and more, You will learn when to include a feature, and when to omit, and why -- understanding error analysis, the acceptability of your models. You will learn to convert a problem statement into useful new features.. You will learn to deliver features driven by business needs as well as mathematical insights.. You’ll also learn how to use machine learning on your machines, automatically learning amazing features for your data

Genres: Programming

361 pages, Kindle Edition

Published January 1, 2018

Reviews

[Andrey · Rating 3 out of 5]

More like "Guide to preprocessing data using scikit-learn". Good code examples, not so good algorithm explanations