Analyzing team Baseball statistics to predict the number of games a team will win.

Using machine learning to predict the amount of wine-cases bought. The data used primarily consists of numerical measurements regarding the composition of any given wine.

This project uses a dataset consisting of numerical and categorical information which describe specific individuals. Predictions are made on both which individuals will file an insurance claim as well as the dollar amount that claim will be. The former prediction use logit models, and the latter use linear models.

Predicting AirBnB prices.