Deriving the Predicted Residual Sum of Squares Statistic

Recently I was looking into measures to evaluate a regularized least squares model. One thing I would have liked was cross-validation to be able to compare different models. When researching possibilities, I discovered PRESS (Predicted Residual Sum of Squares Statistic). The main resources I used to study the subject are: [1] Adrien Bartoli: Maximizing the … Continue reading Deriving the Predicted Residual Sum of Squares Statistic

Use rvest to scrape NFL weather data

If you are following my progress in the Data Science Learning Club you might know that I am using NFL data for the tasks. For predicting sports events I think it is not only important to have statistics about the players, teams and previous games but also about the weather. From when I was a … Continue reading Use rvest to scrape NFL weather data