A hands-on exploration of machine learning fundamentals, where classic classification models are built from scratch to solve the Titanic survival prediction problem and the performance of these cus…

An end-to-end machine learning project for predicting customer churn. This repository includes data preprocessing, model training, hyperparameter tuning, and evaluation.

A collection of notebooks demonstrating various data preprocessing techniques for a customer churn dataset, including handling missing values, feature binning, encoding, and scaling

A client-server proxy built with Python and WebSockets. The client is a simple Windows GUI that routes system traffic through the secure tunnel(Google Colab).

A from-scratch implementation of a GPT model, following Andrej Karpathy's 'Let's build GPT' video.

A command-line Disease Outbreak Analysis System built in Java. This project implements custom data structures (LinkedList, Stack, Queue, BST) and algorithms (Merge Sort) to process time-series pati…

An R Markdown project analyzing a customer purchases dataset. This project covers EDA, probability calculations, distribution fitting (Poisson/Normal), and builds a linear regression model to predi…

A JavaFX GUI application for "John's Super Market" that supports a range of inventory and dealer management functions. Built with Apache Maven, it focuses on OOP principles and includes features li…

A console-based inventory and dealer management system for an internet cafe. Features include full CRUD functionality for items, random dealer selection, and data persistence using text files.