/crime-prediction

Developed predictive models for crime rate, to help the Bureau and police departments around the country to better focus their resources on locations where crimes are more likely to be committed and to also predict main feature used for classifier by using Decision Tree, Logistic Regression

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Crime Prediction

CS 584 Machine Learning : Crime Prediction Project under the supervision of Prof. Shlomo Argamon

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 Classification
    • GaussianNB to learn a Naive Bayes Classifier
    • LinearSVN to learn a Linear Support Vector Mach-ine
  • Regression
    • Linear Regression
    • Ridge Regression
  • Clustering
    • K Means