Read Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models

Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models

Soledad Galli

4.9/5 (28173 ratings)

Description:Create end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python libraries 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 Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes. This updated edition begins by addressing fundamental data challenges such as missing data and categorical values, before moving on to strategies for dealing with skewed distributions and outliers. The concluding chapters show you how to develop new features from various types of data, including text, time series, and relational databases. With the help of numerous open source Python libraries, you'll learn how to implement each feature engineering method in a performant, reproducible, and elegant manner. By the end of this Python book, you will have the tools and expertise needed to confidently build end-to-end and reproducible feature engineering pipelines that can be deployed into production. This book is for machine learning and data science students and professionals, as well as software engineers working on machine learning model deployment, who want to learn more about how to transform their data and create new features to train machine learning models in a better way.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models. To get started finding Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Format: PDF, EPUB & Kindle Edition

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ISBN: 1804611301

Description: Create end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python libraries 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 Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes. This updated edition begins by addressing fundamental data challenges such as missing data and categorical values, before moving on to strategies for dealing with skewed distributions and outliers. The concluding chapters show you how to develop new features from various types of data, including text, time series, and relational databases. With the help of numerous open source Python libraries, you'll learn how to implement each feature engineering method in a performant, reproducible, and elegant manner. By the end of this Python book, you will have the tools and expertise needed to confidently build end-to-end and reproducible feature engineering pipelines that can be deployed into production. This book is for machine learning and data science students and professionals, as well as software engineers working on machine learning model deployment, who want to learn more about how to transform their data and create new features to train machine learning models in a better way.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models. To get started finding Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models

Python Feature Engineering Cookbook: Over 70 recipes for creating, engineering, and transforming features to build machine learning models

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