This is the first video in a series where we will attempt to predict the winning probabilities for Major League Baseball games using modern machine learning techniques. In this video we find a data source, download the data, and then do some processing to get the team statistics over the last 162 games as features for our initial model.
Data: www.retrosheet.org
Notebook: https://github.com/numeristical/resources/tree/master/BaseballPred/BP_1_Data_Wrangle.ipynb
Personal links:
Consulting: www.numeristical.com
Github: https://github.com/numeristical