This project uses LASSO with SGD to predict the resulting yardage of players given a specific set of features that we felt were relevant to its prediction and the capability of the model.
To get an idea of the result of the project, review the pptx. To look at the code, review the updated_SGD_Results_mixed_norm.m file. This contains SGD, vanilla gradient descent, PCA Regression, and several visualizations. To get an idea of the features used for this project review the pptx, to create your own dataset, use the dataset_generation jupyter file.
This project uses LASSO with SGD to predict the resulting yardage of players given a specific set of features that we felt were relevant to its prediction and the capability of the model.