A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats

Comparision of classifiers titanic dataset

To detect heart disease using machine learning

A Machine Learning project for Cardiovascular disease prediction

This Project Predicts whether the Email/SMS is spam or ham by using the extensive knowledge of NLP and various ML Algorithms. Deployed on Streamlit & Herokuapp

A voting classifier based on decision tree arch.

A novel ML-based binary classifier to tell viral and non-viral long reads apart in metagenomic samples.

A tool for AMR gene family prediction, simple and ML-based

A simple binary email classifier that classifies emails into spam and ham and also performs topic modelling using LDA

Descriptive, predictive analysis of taxability

Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.

Stroke Prediction App

Kaggle Playground Series - Season 3, Episode 26 - Multi-Class Cirrhosis | EDA | MI-Score | Feature Engineering

A visual approach to understand the beauty of voting classifiers

Project for Machine Learning Data Mining course

Using classical machine learning techniques for classifying the data into 9 classes which can be further used for cancer detection.

Telecom churn prediction using a voting classifier

This repository contains the code for a web-based diabetes prediction application using a machine learning model. The application is built using Flask and allows users to input various health parameters to predict the likelihood of diabetes using ensemble voting classifier.

Classification