Feature Importance & Selection

Published: 04 September 2021
on channel: Data Analysis Lab
300
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In this video I cover the processes involved in measuring feature importance. I cover measuring importance with SHAP values and tree-based model importance measurement with Gradient Boosted Trees and Random Forest. I then cover how to perform feature selection for machine learning models. I demo all concepts with Python code.

For code and slides please visit: https://kelseyemnett.com/2021/09/04/f....


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