Asanda1nhleko/TechnicalProgramming-

A machine learning project analyzing South African crime data with socio-economic indicators, including prediction, visualization, and forecasting. # South African Crime Analysis This project explores crime trends in South Africa using SAPS crime stats and Stats SA’s General Household Survey data. It identifies **crime hotspots**, predicts **future crime patterns**, and links them to **socio-economic factors**. I used: - **Decision Tree** and **Random Forest** for classification (both reached 100% accuracy) - **Time series forecasting** to predict future crime trends - A **Streamlit dashboard** to visualize crime by year, province, and category 🔗 **Streamlit App:** 👉 Click here to open the dashboard