great123-art/Predicting-Economic-Growth-from-Human-Development-Indicators-in-Africa-

# 📈 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 …