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TidyX 54: MLB Pitch Classification Series — KNN & UMAP

Continuing from part 1 of this series, Ellis Hughes and I do more classification work on our MLB pitchf/x data set.

In this episode we go over how to use k-nearest neighbor and umap for classification in R.

To watch our screen cast, CLICK HERE.

To access our code, CLICK HERE.

This entry was posted in Uncategorized on March 28, 2021 by Patrick.

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← TidyX 53: MLB Pitch Classification Series — EDA & Hierarchical Clustering TidyX 55: Decision Trees, Random Forest, & Optimization →

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