- Created a linear regression model to calculate win percentage of an NFL team using player salaries and a team’s active spending
- Scraped 3 seasons of NFL position salary and team cap space from Spotrac
- Cleaned and prepared data for modeling
- Gave examples of how the model can be used in good practice for NFL teams
- Created a logistic regression model calculating the liklihood a customer will switch providers in the next month
- The model had a accuracy value of 78%
- Using the analysis, developed a course of action to retaining customers
