
Python Feature Engineering Cookbook, 2nd Edition (Sách gia công, Bìa mềm)
Thể loại:Computers - Programming
Năm:2022
In lần thứ:2nd
Ngôn ngữ:english
Trang:386
Impute missing data using various univariate and multivariate methods
Encode categorical variables with one-hot, ordinal, and count encoding
Handle highly cardinal categorical variables
Transform, discretize, and scale your variables
Create variables from date and time with pandas and Feature-engine
Combine variables into new features
Extract features from text as well as from transactional data with Featuretools
Create features from time series data with tsfresh
Who this book is for
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.
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