Sumit Sah
sumit-sah314
Exploring the Intersection of Computer Science and Mathematics
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This repository contains all the animations created using Manim for my YouTube channel "Intuimation". Each animation is designed to visually explain and simplify various mathematical concepts.
This repository contains a collection of C++ projects I worked on during the early stages of my coding journey. These projects reflect my initial learning experiences and experimentation with C++.
This repository contains our project for the Datathon challenge. Our project investigates systemic biases in professor ratings on platforms like Rate My Professors (RMP) and proposes solutions for fairer evaluations.
This repository documents my learning journey in Machine Learning (ML). It includes comprehensive resources such as visual explanations, coding exercises, mathematical algorithms, and projects. The aim is to understand the theory and implementation of ML concepts while building a structured, practical foundation for advanced learning.
A fun and statistical exploration of the Monty Hall problem in C++
A matrix calculator for solving matrix of shape m*n. It has built-in feature of getting latex output of the computation in .txt format, which could be copied in .tex files.
Repositories
16This repository contains all the animations created using Manim for my YouTube channel "Intuimation". Each animation is designed to visually explain and simplify various mathematical concepts.
This repository contains a collection of C++ projects I worked on during the early stages of my coding journey. These projects reflect my initial learning experiences and experimentation with C++.
No description provided.
This repository contains our project for the Datathon challenge. Our project investigates systemic biases in professor ratings on platforms like Rate My Professors (RMP) and proposes solutions for fairer evaluations.
This project implements a Proof of Concept (POC) for VROOM Cars to automatically detect and classify car damage from images.
Collection of Summer 2026 tech internships!
A personal repository to document my deep learning learning journey, projects, notes, and experiments.
This project focuses on building robust machine learning models to predict the likelihood of credit default using financial and behavioral data. It includes exploratory data analysis, feature engineering, model training (Logistic Regression, Random Forest, XGBoost, and PyTorch MLP), evaluation metrics, and deployment readiness.
This repository documents my learning journey in Machine Learning (ML). It includes comprehensive resources such as visual explanations, coding exercises, mathematical algorithms, and projects. The aim is to understand the theory and implementation of ML concepts while building a structured, practical foundation for advanced learning.
C++ implementation of the Monty Hall problem — includes manual gameplay, n-door simulation, and visual door rendering with stats.
A fun and statistical exploration of the Monty Hall problem in C++
A matrix calculator for solving matrix of shape m*n. It has built-in feature of getting latex output of the computation in .txt format, which could be copied in .tex files.
This repository contains a speech assignment for my communication class focused on explaining how artificial intelligence learns, using analogies to human learning. As an AI enthusiast, I've chosen this topic to make complex AI concepts more accessible to a general audience.
A C++ program simulating movie theater operations, including customer membership management and theater seating assignments. This project was completed as part of a programming assignment during my first semester at Texas State University.
Visualizations of various sorting algorithms, crafted with MANIM, a powerful Python library for creating mathematical animations. Each algorithm is brought to life through step-by-step animations, making complex sorting processes easy to understand and visually engaging.
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