Analysis and Prediction of the type of the Crime and the possibility of criminal being arrested in the Chicago City based on the crime report data available.

Guidelines to run the Code:-

1. Download and install the necessary packages.
2. Open the .ipynb file using any Python Notebook Application ( Jupyter, Google Colab, Microsoft Visual Studio Code)
3. The Input Code and the Output will be available in the notebook
4. Run all the cells in the Notebook from the beginning in a sequential order
5. Matplotlib and Seaborn plots are generated inline

Packages Used ⇒ Version:-

1. Python ⇒ 3.6
2. numpy ⇒ 1.16.4
3. pandas ⇒ 0.24.2
4. matplotlib ⇒ 3.1.0
5. scipy ⇒ 1.3.0
6. missingno (pip install missingno)
7. seaborn ⇒ 0.9.0

Source of Data : https://data.cityofchicago.org/Public-Safety/Crimes-2019/w98m-zvise.