This second edition of Python Feature Engineering Cookbook will take the struggle out ... or Linux We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click ...

Pipelines and frameworks are tools that allow you to automate and standardize the steps of feature engineering, such as data cleaning, preprocessing, encoding, scaling, selection, and extraction.

Feature engineering, the process of transforming variables and creating features, albeit time-consuming, ensures that your machine learning models perform seamlessly. This second edition of Python ...

Streamline data preprocessing and feature engineering in your machine learning project with this third edition of the Python Feature Engineering Cookbook to make your data preparation more efficient.

Streamline data preprocessing and feature engineering in your machine learning project with this third edition of the Python Feature Engineering Cookbook to make your data preparation more efficient.

Featuretools is an open-source Python library designed for automated feature engineering. It was developed by the Feature ... them and then data scientists can proceed with model creation. Image ...

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What is this book about? 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 ...