YC-Coder-Chen/feature-engineering-handbook
A practical feature engineering handbook
This handbook helps machine learning practitioners prepare raw data for model training. It guides you through transforming various types of input data, like continuous numbers, categories, and time series, into a clean set of relevant features. The output is well-structured data ready for building predictive models. Data scientists and machine learning engineers will find this useful for improving model performance.
333 stars. No commits in the last 6 months.
Use this if you need to systematically clean, transform, and select the most impactful features from your datasets to build more accurate machine learning models.
Not ideal if you are looking for a fully automated, black-box feature engineering tool without understanding the underlying techniques.
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Jul 18, 2020
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