This repository contains two open-ended projects completed as part of IE102: Introduction to Probability and Statistics, a freshman year course at IIT Bombay
In this course, the final project topics were open-ended — students were encouraged to explore anything related to probability and statistics. These projects were intended to be short and exploratory, helping us apply what we learned in class while getting hands-on experience to the simulating.
These are my takes on the assignment:
A project exploring the Erdős–Rényi model, a simple but powerful framework in random graph theory. The code demonstrates:
- Threshold-based graph connectivity
- Emergence of a giant component
- Epidemic spreading over networks
- Clustering comparison with structured graphs
🔍 Visit the folder for details and all code: Erdos-Renyi-Randomized-Graphs
This project uses multivariable linear regression to explore how different quantifiable factors — such as qualifying positions, team performance, and past results — affect the final positions of drivers in Formula 1 races.
🔍 Visit the folder for code and project info: F1-Race-Prediction
These projects were not intended to be deeply technical but rather served as a way to encourage freshmen to explore, learn, and apply new concepts through small self-driven experiments.
Feel free to explore the individual folders to see the implementations and project reports!