brianotiodhiambo-source/world-bank-gdp-growth-prediction

A Data Science capstone project that predicts GDP Growth in Sub-Saharan African countries using the World Bank World Development Indicators (WDI) dataset and machine learning models. # 🌍 GDP Growth Prediction Using World Bank Development Indicators (WDI) ## AnalystLab Africa Data Science Internship – Capstone Project ## 📖 Project Overview This project was completed as the final Capstone Project for the **AnalystLab Africa Data Science Internship Program (Batch B)**. The objective of this project was to develop machine learning models capable of predicting **GDP Growth** in **Sub-Saharan African countries** using socioeconomic indicators from the **World Bank World Development Indicators (WDI)** dataset. The project demonstrates the complete Data Science workflow, including: - Data Collection - Data Cleaning & Preprocessing - Exploratory Data Analysis (EDA) - Feature Engineering - Machine Learning Model Development - Hyperparameter Tuning - Model Evaluation - Deployment using Streamlit --- ## 🎯 Problem Statement Can GDP Growth be predicted using key socioeconomic indicators such as: - Electricity Access - Internet Users - Inflation - Population Growth - Life Expectancy - Secondary School Enrollment - Trade (% of GDP) for countries in **Sub-Saharan Africa**? --- ## 📊 Dataset **Dataset:** World Bank World Development Indicators (WDI) **Source:** datatopics.worldbank.org The dataset contains global development statistics covering over 200 countries and territories across multiple sectors including: - Economy - Education - Health - Infrastructure - Trade - Technology - Environment For this project, the analysis focused on **Sub-Saharan African countries**. --- ## Technologies Used - Python - Pandas - NumPy - Matplotlib - Seaborn - Scikit-learn - Jupyter Notebook - Streamlit - Git & GitHub --- ## Machine Learning Models The following regression models were developed and evaluated: - Linear Regression - Random Forest Regressor - Gradient Boosting Regressor - Optimized Random Forest (GridSearchCV) --- ## …