ashishpatel26/Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
This guide helps data practitioners prepare raw datasets for machine learning models. It takes your raw data, helps you understand its characteristics, clean it, and then transform it into a format that machine learning algorithms can use more effectively. This is for anyone building machine learning models, like data scientists or machine learning engineers, who needs to optimize their data input.
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Use this if you need a comprehensive reference to improve the quality and predictive power of your machine learning models by optimizing the input data.
Not ideal if you are looking for an automated, one-click solution without understanding the underlying techniques.
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