This is the code repository for Python Feature Engineering Cookbook, published by Packt.
Over 70 recipes for creating, engineering, and transforming features to build machine learning models
Feature engineering is invaluable for developing and enriching your machine learning models. In this book, you will work with the best Python tools to streamline your feature engineering pipelines, feature engineering techniques and simplify and improve the quality of your code.
This book covers the following exciting features:
- Simplify your feature engineering pipelines with powerful Python packages
- Get to grips with imputing missing values
- Encode categorical variables with a wide set of techniques
- Extract insights from text quickly and effortlessly
- Develop features from transactional data and time series data
- Derive new features by combining existing variables
- Understand how to transform, discretize, and scale your variables
- Create informative variables from date and time