Crime Analysis Using Big Data Techniques

This project analyzes crime data using big data processing and machine learning techniques to uncover patterns and predict crime characteristics. It was developed as part of the Big Data course.

Key Features

• Data preprocessing and feature engineering on crime datasets
• Classification of crime categories and severity using Naive Bayes
• Visualization of crime trends and patterns
• Performance evaluation of prediction models

How to Run

1. Clone this repository
2. Install the required packages with pip install -r requirements.txt
3. Open and run Data_603_Final_project.ipynb to explore the analysis

Files Included

• Crime_Analysis.ipynb: Main Jupyter notebook
• requirements.txt: Python dependencies
• README.md: Project summary and usage instructions