MLB Pitchers Clustering and Expected Run Value Prediction Model

Please download the entire data file from here, and place it outside the working directory of the notebooks, like this:

1. data
   1. dataset1
   2. dataset2
2. main
   1. notebook1
   2. notebook2

cluster_analysis: exploratory data analysis on each cluster of Pitchers.

cluster_modeling: run clustering algorithms on pitchers data and measure prediction. results. CAUTION: this notebook takes several hours to run entirely.

functions: some functions used in the modeling process.

get_statcast: retrieve Statcast data.

pitcher_data_cleaning: clean data which are used in cluster modeling process.

RV_calculation: calculate RE24 and run values on PA data.

Also, some libraries need to be installed to fully run the scripts:

1. Scikit Learn
2. Scipy
3. Numpy
4. Pandas
5. tqdm
6. Matplotlib
7. Seaborn