RaksRaks/HDPSA-BIN381

This project for Business Intelligence 381 (BIN381) investigates Health and Demographic Patterns in South Africa (HDPSA) using a data mining and visualization approach. # HDPSA BIN381 - Health and Demographic Patterns in South Africa ## 🎯 Project Overview This comprehensive data science project investigates **Health and Demographic Patterns in South Africa (HDPSA)** using advanced data mining and visualization techniques. The project follows the CRISP-DM methodology and delivers a complete end-to-end analytics solution with automated monitoring and deployment capabilities. ### 🏥 Business Impact - **Stakeholders**: Government health departments, non-profit organizations, public health officials - **Objective**: Analyze health and demographic data to inform policy decisions and improve public health outcomes - **Scope**: 18-year temporal analysis (1998-2016) covering 12 comprehensive health datasets ## 📊 Project Deliverables ### Complete Milestone Coverage (1-6) - ✅ **Milestone 1**: Data Understanding & Quality Assessment - ✅ **Milestone 2**: Data Preparation & Feature Selection - ✅ **Milestone 3**: Model Building & Assessment - ✅ **Milestone 4**: Model Evaluation & Governance - ✅ **Milestone 5**: Deployment & Monitoring - ✅ **Milestone 6**: Final Integration & Presentation ### 🚀 Key Features - **4 Machine Learning Models**: Logistic Regression, Decision Tree, Random Forest, Naïve Bayes - **Automated Monitoring**: Real-time performance tracking with alert system - **Power BI Dashboard**: Interactive analytics with weekly refresh automation - **R Shiny Application**: Technical validation and model exploration - **Comprehensive Documentation**: User guides and technical documentation ## 📁 Repository Structure ``` HDPSA-BIN381/ ├── 📊 Cleaned Datasets/ # Processed datasets for modeling ├── 📋 Intruction Docs/ # Project guidelines and CRISP-DM methodology ├── 📈 Milestone 1-5 Docs/ # Documentation for each milestone ├── 🎯 Milestone 1-5 outputs/ # Results, visualizations, and model outputs ├── 🤖 Model Outputs/ # Trained models and predictions ├── 💻 R Code/ # All R scrip …