Clustering Application in Python Using scikit-learn
Clustering
Predicting Baseball Metric Clusters: 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.
GitHub