jeremy course notes

This article covers different industry applications where a machine learning model can be implemented and necessary steps to follow in building a model.

A summary of fast.ai’s course that interprets the results of a random forest model using various techniques like partial dependence & tree interpreters.

This article provides a comprehensive summary of fast.ai’s machine learning course. It’s a deep dive into the inner workings of the Random Forest algorithm!