Solutions to In-Class questions, Problem Sets and Exams of MIT Mathematics for Computer Science 2015 (same as 2019 Open Learning Library)

Random Walk Theory Applied to Live FX

R Package for Random Walks

GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data Classification. A graph attention-guided oversampling method for imbalanced data classification using GAT and random walks.

💻 Dr. Joseph Anderson | Grade: A (Algorithms) 💻

HW 2 - Random Walks

A comprehensive Python-based exploration of Random Walks in 1D, 2D, and 3D. This repository features simulations, statistical analysis, and interactive visualizations (using Plotly) to demonstrate the behavior of random walks, including unbiased and biased scenarios, distribution convergence, and the impact of dimensionality.

Rendering images with random walks

A project with python scripts simulating different random walks of varying complexity.

Random walks on 1, 2 or 3 dimensional graphs

HW 3 - Random Walk Metrics

My personal experiments and notes during my journey of learning Data Science are preserved in this repository.

Final project for the course Thermal Physics (PHY-2610) in Spring 2024