Life Expectancy predictor

I've been working on a Life Expectancy Prediction model using data from the World Health Organization (WHO) and the United Nations. This project analyzes key health, economic, and social factors from 193 countries over the period from 2000 to 2015, to predict life expectancy.

Key Highlights:

- Built a stacked regression model that combines ExtraTrees, RandomForest, and Gradient Boosting to improve prediction accuracy.

- Deployed the model using Streamlit, making it interactive and easy to use.

- Users can input country-specific features (like GDP, adult mortality, immunization rates) and get real-time life expectancy predictions.

This project was a great opportunity to dive deeper into:

- Data pre-processing and handling missing data

- Building and tuning machine learning models

- Deploying interactive machine learning apps on Streamlit Cloud