This is a data analysis project for making predictions based on Lahman's baseball data.
In the first part of the project, I applied K-means clustering model, linear regression model
and ridge regression model to predict MLB(major league baseball) wins per season. In the second part
of the project, I applied logistic regression model to predict which baseball players
will be voted into the Hall of Fame.
References:
https://www.datacamp.com/community/tutorials/scikit-learn-tutorial-baseball-1
https://www.datacamp.com/community/tutorials/scikit-learn-tutorial-baseball-2