Algorithms

This is the page displaying all the material related to Algorithms. This can include projects, blogs, and certificates.

Projects

Circus Discussions

For a final year university project, a social media platform was developed enabling users to form communities, start discussions, and comment on them, connecting with like-minded individuals.

Ringmaster Messaging

A custom back-end learning project involved creating a straightforward messaging app. Users can chat one-on-one, participate in group chats, send text messages, share images, view active users, and personalize their profiles.

Magician AI

Magician AI is a SaaS platform that leverages AI to enable users to generate various media types and have dynamic conversations. Developing this project allowed me to explore Stripe, Clerk authentication, and unique AI APIs.

Drumroll Music

My first major project using Supabase was a basic music streaming site. Users can upload songs, search and listen to music, as well as like the songs they enjoy.

Adult Income Prediction

A project leveraging the UCI Adult Income dataset to predict income brackets using a RandomForestClassifier. Emphasis is on feature engineering, data preprocessing with One-Hot Encoding, and model optimization through hyperparameter tuning.

House Price Prediction

An analytical approach to predicting California housing prices using the RandomForestRegressor and LinearRegressor, with a focus on data preprocessing and feature engineering.

Assignment 1

Be able to implement machine-learning algorithms, using the Nearest Neighbours algorithm as an example. Have an understanding of ways to apply the ideas and algorithms of machine learning in science and technology.

Assignment 2

Be able to use and implement machine-learning algorithms, with the Lasso and inductive conformal prediction algorithms as examples. Have an understanding of ways to apply the ideas and algorithms of machine learning in industry and medicine.

Assignment 3

Be able to use and implement machine-learning algorithms, with the SVM, neural networks, and cross-conformal prediction algorithms as examples. Have an understanding of ways to apply the ideas and algorithms of machine learning in industry.

Lab Questions

Implemented various machine learning algorithms and techniques learned during the course, such as Nearest Neighbours, conformal prediction, linear regression, Ridge Regression, Lasso, data preprocessing, parameter selection, kernels, neural networks, support vector machines, scikit-learn pipelines, and cross-conformal predictors.

Computational Finance Assignment

An assignment exploring valuation of options using methods like Black-Scholes, binomial trees, and Monte Carlo. Also includes theoretical aspects of put-call parity and financial arbitrage opportunities.

Quizmify

An intuitive platform for dynamic quiz generation. Users can test their knowledge across various topics, choosing between multiple-choice questions or fill-in-the-gap style challenges. With immediate feedback and score tracking, users enhance their understanding.

Noodle

During my second year of university, my group and I initiated a project on an open-source learning platform which served as my introduction to full-stack development. This app aids students in managing tasks, assignments, exams, and storing notes and resources.

ConvoGPT

In my first year of university, my group and I developed a simple game using SimpleGUI for a project. We manually implemented the game's physics using vector theory and physics concepts. Since there were no tutorials or guides available, we relied heavily on the library's documentation.

Searching & Sorting

Jupyter Notebook containing various searching and sorting algorithms. Each algorithms is explained. All the algorithms are also compared to each other.

Flask Forum Backend

This is a custom backend for the first iteration of the discussion platform. This was created to learn how to create a custom backend using Python and Flask.