Config files for my GitHub profile.

Personal blog containing content related to ML, math, and tech. Static site built with Hugo and the LoveIt starter, lots of custom additions, deployed to Netlify via GH Actions

Examples from my recent blog post on the core foundations of OOP: Encapsulation, Abstraction, Inheritance, and Polymorphism

The hello world of CV

Repo to hold some implementations of ML models from scratch. Planning to include linear regression, logistic regression, some classification stuff, and more?

Playing around with pathfinding in snake :]

Predicting the outcomes of Formula 1 races using regression and a dataset built from scratch

Blog to share content about software development, AI + ML + Math, and my learning outcomes. Built from a Gatsby theme with JavaScript, ReactJS, Gatsby, and deployed through Github Actions.

Just a Big Glowing Button :) - Angular, SCSS

Python/Django REST API using Nginx to reverse proxy client requests and Docker Compose with AWS EC2 for the infrastructure. Built for ProjectDock's v1.0.0 API. (Deprecated)

Comparing the average runtime complexities of Strassen's Algorithm and Naive Matrix Multiplication at small and large values.

Data Structures and Algorithms using C#. Practice questions are from LeetCode with original implementations.

Flask RESTful Web API serving stock predictions using CNN-LSTM, with Typescript/Angular powering the UI. (Abandoned)

COVID Stock Market Analysis performed using Linear Regression and Support Vector Machines

Classifying Handwritten Digits with 99.8% accuracy using Support Vector Machines (SVM)

Predicting heart failure with 93% test accuracy using the K-Nearest Neighbours algorithm.

Fractal generation using python. Currently contains: Mandelbrot Set

Implementation and Visualization of the A* Pathfinding Algorithm with a simple GUI built with the TKinter API

Learning React Native for mobile development.

Gathering valuable insights and meaningful metrics from manually built hydroponic farm.