aikho/awesome-feature-engineering
A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
This is a curated collection of resources for improving your machine learning models. It provides methods to transform raw data, whether it's numbers, text, images, or time series, into features that help algorithms learn better. Data scientists, machine learning engineers, and analysts can use this to enhance their model performance by finding relevant techniques for their specific data types.
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Use this if you need to understand or apply various data transformation techniques to prepare your dataset for machine learning models and improve their accuracy.
Not ideal if you are looking for a ready-to-use tool or library to automatically generate features without understanding the underlying techniques.
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Oct 26, 2018
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