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🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
The project applied database principles to a real-world mental health problem, emphasizing reliable data management, and showcased practical solutions to mental health challenges.
This project is licensed under the MIT license. A lightweight, client-side productivity suite featuring a homework task manager with progress analytics, Pomodoro timer, and Nim game application. This is a helpful tool for students and adults to increase their efficiency and train their logic through entertainment.
Project to parse and interpret large-scale real-world data. Purpose is to match the tax code for each item or service offered by a company (Avalara) to UNSPSC tax codes, based on descriptor strings of each item and descriptor strings of each UNSPSC tax code.
A sortable and editable list of quests and associated data in Dungeon and Dragons Online. A useful tool for anyone from beginners trying to find quests to do to veterans looking to optimize their reincarnation routes!
Comparative study of CNN, Transformer, and SSM-based models for multi-domain image classification tasks. Developed as the undergraduate thesis project of Group-T2410196 at BRAC University, Fall 2024.
Step-by-step description of a power set generator class: ModSet(). Efficiency comparison between the binary mask iterative process and two recursive algorithms for constructing power sets.
This repo contains a portfolio of Python code and related documentation I wrote for my graduate coursework at Colorado State University - Global Campus.
Electricity sector regulators are practicing benchmarking of distribution companies to regulate the allowed revenue. The main objective of this study is to evaluate relative efficiencies of each Distribution utility using DEA and to identify best performing areas . Then identify ways to improve each area’s performance, if it is not one of the to…