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The Essential Guide to Feature Selection

Source: Explorium
Release Date: Sep 4, 2020

Feature selection is a key step in building powerful and interpretable machine learning models, but it’s also one of the easiest to get wrong. The wrong features will give you inaccurate answers and may impact your ML models’ efficiency in ways you can’t predict. This guide focuses on establishing a reliable feature selection process that will pay dividends when you move your models into production.

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