Clustering

Clustering Application in Python Using scikit-learn

This repository contains the prediction of baseball metric clusters using MLB Statcast Metrics.

Goals

• Using MLB Statcast Metrics, summarize and examine baseball statistics.
• Build a k-Means Clustering model to predict clusters using exit velocity and launch angle as features.
  • Determine the optimal number of clusters using the elbow method and silhouette coefficients.
• Build a Hierarchical (Agglomerative) Clustering model to predict clusters using exit velocity and launch angle as features.