Shypd.aiThe largest open index of AI toolsfeature-engineering-book is an Open Source research and education tool that provides the code repository for the book "Feature Engineering for Machine Learning." It helps users implement and understand feature engineering techniques.
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feature-engineering-book is the official GitHub code repository accompanying the book "Feature Engineering for Machine Learning" by Alice Zheng and Amanda Casari, published by O'Reilly in 2018. This resource is invaluable for students, researchers, and practitioners looking to implement the feature engineering techniques discussed in the book. The repository contains various Jupyter Notebooks covering topics such as binning, count features, log and Box-Cox transformations, interaction features, text processing (TF-IDF, chunking), regression on categorical variables, feature hashing, PCA, K-means clustering for featurization, and HOG image features. It also includes end-to-end recommender system examples, providing practical code for a deeper understanding of machine learning concepts.
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