Data Mining Project

Joshua Deng, Avner Khan, Abhishek Khare, Kiran Raja

Our Dataset

For this project our team decided to analyze the Austin Police Departments Crime Reports Dataset. By creating a supervised learning model based on features like Highest Offense Code, Census Tract, and Location Type our model is trying to predict whether an arrest is likely to be made or not so we can reccommend how much police resource should be allocated to a given crime.

Instructions to Run Code

• Download Code
• Download Crime_Reports.csv from here: https://data.austintexas.gov/Public-Safety/Crime-Reports/fdj4-gpfu

• #run csv_cleaner.py, make sure all files including csvs are in the same directory
  $ python csv_cleaner.py

• Open Crime_Reports_Project.ipynb in Jupyter Notebook
• Run each cell in Crime_Reports_Project.ipynb in order