Machine Learning : Crime Prediction Analysis
The goal of the project is to develop predictive models for crime. The project was designed to help the FBI and police departments around the country to use machine learning to better focus their resources on locations where crimes are more likely to be committed.
Topics Covered: Decision Trees, Linear SVC, KNN, Random Forest, Polynomial SVC, GaussianNB & Gradient Boosting Classifier.