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Baseball-Analytics

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

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machine learning models for predictions on baseball data

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