This was a joint project between Raisaat Rashid and Harichandana Yeleswaram
Used Gradient Boosting and SVM models to predict the type of crime that is likely to occur at a specific location on the campus of the University of Texas at Dallas at a given time of the day.
- Generated the dataset from data publicly available at https://utdallas.edu/police/publicinfo.html using a python script
- Used cross validation to select the best parameters for the models
- Generated the confusion matrices and ROC curves for each model to analyze the accuracies of the models
Refer to "PROJECT REPORT.pdf" for more information.