Python Feature Engineering Cookbook
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.
Offered by
Difficulty Level
Intermediate
Completion Time
12h24m
Language
English
About Book
Who Is This Book For?
This book is for machine learning professionals, AI engineers, data scientists, and NLP and reinforcement learning engineers who want to optimize and enrich their machine learning models with the best features. Knowledge of machine learning and Python coding will assist you with understanding the concepts covered in this book.
Python Feature Engineering Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h24m total length
Foreseeing Variable Problems When Building ML Models
Imputing Missing Data
Encoding Categorical Variables
Transforming Numerical Variables
Performing Variable Discretisation
Working with Outliers
Deriving Features from Dates and Time Variables
Performing Feature Scaling
Applying Mathematical Computations to Features
Creating Features with Transactional and Time Series Data
Extracting Features from Text Variables
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