Collaborative Data Science project for the Confidence Crew! Focus on EDA, clean code, teamwork, and clear insights.

📊 Group 18 – Collaborative Data Science Project (CDSP) | MIT Emerging Talent A structured, reproducible research project tackling a meaningful data science question using real datasets. Organized by milestones — from domain study to final presentation — with a focus on teamwork, transparency, and effective communication.

Collaborative Data Science Project - MIT Emerging Talent Program | Transforming messy and vague datasets into informative and understandable insights. We are committed to fostering a respectful, inclusive, and collaborative environment that values trust, open communication, and mutual support.

This repository contains a collaborative research project from MIT Emerging Talent Group 12. We explore how blockchain-based identity and credit systems can help migrants and refugees gain access to financial services—like loans and insurance—despite lacking traditional credit histories or formal banking access.

Collaborative project for the MIT Emerging Talent Program – Group 27. This repository contains code, data, and documentation for the end-to-end data science pipeline, from domain study to final presentation.

Group 8 - CDSP Project. This repository houses the efforts of Group 8 in the MIT Emerging Talent 2025 program, showcasing the power of renewable energy and its impact in conflict-affected and underserved regions. Through data science, we explore how clean energy can foster resilience, sustainability, and opportunity

Welcome to Atmosfear! This repository is the collaborative hub for our data-driven exploration of global air pollution. Here, we collect, analyze, and transform raw environmental data into meaningful insights that help uncover pollution patterns and their impact on public health.