great123-art/Predicting-Economic-Growth-from-Human-Development-Indicators-in-Africa-
Domain:
socioeconomicRecord type:
project
Creator:
gre
Host:
# 📈 Predicting Economic Growth from Human Development Indicators in Africa
This project explores the relationship between human capital development (education, health, labor) and economic growth (GDP) in African countries using real-world data and machine learning. We aim to build predictive models and generate actionable insights for policymakers, researchers, and development agencies.
## 🚀 Project Objectives
- Analyze the correlation between human development indicators and economic growth.
- Build a predictive model for GDP growth based on human capital metrics.
- Identify which indicators contribute most significantly to economic performance.
- Visualize trends and disparities across countries and over time.
## 📂 Project Structure
economic-growth-predictor/
│
├── data/ # Raw and cleaned datasets
├── notebooks/ # EDA, modeling, evaluation notebooks
├── src/ # Scripts for preprocessing, modeling, etc.
├── models/ # Saved models (Pickle/Joblib)
├── visualizations/ # Graphs and plots
├── requirements.txt # Python dependencies
└── README.md # This file# Predicting-Economic-Growth-from-Human-Development-Indicators-in-Africa-
## 🧠 Key Technologies
- **Languages:** Python 3
- **Libraries:** Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly
- **Tools:** Jupyter Notebook, Git, GitHub, Streamlit (optional for deployment)
## 📊 Datasets
We use public datasets from:
- World Bank Open Data
- UNDP Human Development Reports
- Nigeria Bureau of Statistics
- Kaggle
Indicators include:
- GDP per capita
- Literacy rate
- School enrollment
- Life expectancy
- Access to clean water
- Health expenditure
- Employment rate
## 📈 Methodology
1. **Data Collection & Cleaning**
2. **Exploratory Data Analysis (EDA)**
3. **Feature Engineering**
4. **Model Training & Evaluation**
- Linear Regression
- Random Forest
- XGBoost
- Lasso/Ridge Regression
5. **Visualization & Interpretation**
6. **(Optional)** Streamlit app for interactive exploration
## 📌 Results & Insights
- S …
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