🌏 . 📈

Achievements

Overview

Objective Goal

With the foundational learnings from the Machine Learning course, my goal was to craft a predictive model to forecast population trends and visually represent this data on an interactive world map.

1

🔧 Technical Contribution

  • 🖥️ Front-end Development & GIS Integration: 🖥️

I developed and led the integration of a user-friendly interface with an interactive GIS map, improving user engagement significantly.


  • 🔍 Algorithm Analysis & Model Selection: 🔍

I compared machine learning models, specifically Linear Regression and Random Forest, and selected the most suitable one, enhancing the project’s prediction reliability.

2

🤝 Leadership & Collaboration 🤝

  • 🌟 Team Guidance: 🌟

Spearheaded the team in sourcing and collecting global population data from credible sources.


  • 📊 Model Construction: 📊

Took the helm in building the regression prediction model, ensuring its accuracy and reliability.