This repository is a collection of code, documentation, and other resources that support the management and automation of a Data Science project.

PyTorch implementation of PaliGemma 2

A comprehensive machine learning web application for diabetes prediction, featuring real-time model evaluation and interactive performance visualization. This platform combines modern ML techniques with an intuitive interface to help analyze diabetes risk factors and make predictions.

Implementing KANs with TensorFlow

Detect sleep onset and wake from wrist-worn accelerometer data

This project utilizes machine learning to address the broad problem of spam through algorithms like Multinomial Naive Bayes and Logistic Regression; it can classify incoming emails as either spam or ham. This project aims to enhance email security and user experience while minimizing the risks of phishing attacks.

Detect fraudulent transactions in financial data using machine learning algorithms.

An ANN-based model was developed to predict the Position Sensor Offset Error (PSOE) in PMSM motors using a single input, accompanied by a user-friendly platform to enhance usability.

Jupyter is a repository of various Jupyter notebooks that showcase data science and machine learning projects. Each notebook explores different datasets and techniques, providing in-depth analyses, visualizations, and model implementations.

Predictive model for diagnosing diabetes in Pima Indians

Predict which Tweets are about real disasters and which ones are not