Baseball ML Learning

Prompt

I'm wanting to create a jupyter notebook exploring the drivers of hall of fame inductions within MLB. I have access to career and postseason batting and pitching statistics, number of awards won, and world series won. My final goal is to create a report that can be shared with management to explain what data science is by presenting this use case. My goal is to understand the key drivers of who gets inducted, potential snubs, and how criteria has changed over time. Provide me with python code, EDA techniques, and ML models. I'm student trying to learn more, so make sure and provide explanations.