Boost Performance with Python Feature Selection with NIRS data

Published: 21 September 2024
on channel: AnalytiCode
245
17

Struggling with too many features in your dataset? In this video, I’ll show you how to tackle feature selection using the sklearn library's SelectKBest method with f_classif for statistical testing. I’ll walk you through the process step by step, using Near IR plastic data to demonstrate how you can effectively reduce your feature set and improve your model's performance. Whether you're new to feature selection or looking for practical insights, this tutorial is for you!


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