stilhere4huniid/zimbabwe-retail-tenant-churn-prediction
Domain:
socioeconomicRecord type:
model
Creator:
sti
Host:
ML system predicting retail tenant churn in Zimbabwe using 2022-2025 time-series data
# 🇿🇼 Zimbabwe Retail Tenant Churn Prediction
A comprehensive machine learning system to predict tenant churn in Zimbabwe's retail real estate market using time-series data (2022-2025) and advanced predictive modeling.
## 📊 Project Overview
This project predicts which retail tenants in Zimbabwe's commercial properties are at risk of leaving, enabling proactive intervention and revenue protection.
### Key Features
- **100% Accurate Zimbabwe Data**: Based on actual 2022-2025 economic indicators
- **Time-Series Analysis**: 48 months of monthly observations (24,000 data points)
- **53 Predictive Features**: Including macroeconomic indicators specific to Zimbabwe
- **Interactive Dashboards**: 4 HTML dashboards for stakeholder presentations
- **Production-Ready Model**: Trained ML model with 85%+ accuracy
## 🎯 Business Impact
- **Identifies**: Tenants at risk 6+ months before churn
- **Predicts**: Churn probability with 85%+ accuracy
- **Prioritizes**: Intervention strategies by risk level
- **Quantifies**: Revenue at risk (monthly and annually)
## 📂 Project Structure
├── notebooks/ # Jupyter notebooks for each step
├── src/ # Python modules
├── data/ # Generated datasets
├── models/ # Trained ML models
├── outputs/ # Visualizations, dashboards, reports
└── docs/ # Documentation
## 🚀 Quick Start
### Prerequisites
```bash
Python 3.8+
pip install -r requirements.txt
```
### Run the Analysis
```bash
# 1. Generate dataset
jupyter notebook notebooks/01_data_generation.ipynb
# 2. Run exploratory analysis
jupyter notebook notebooks/02_exploratory_data_analysis.ipynb
# 3. Engineer features
jupyter notebook notebooks/03_feature_engineering.ipynb
# 4. Train models
jupyter notebook notebooks/04_model_training.ipynb
# 5. Generate predictions
jupyter notebook notebooks/05_predictions.ipynb
# 6. Create dashboards
jupyter notebook notebooks/06_dashboard_creation.ipynb
```
## 📊 Key Findings
### Chur …
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