Detection and localization of COVID-19 on chest X-rays

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Reward Penalty Weighted Ensemble approach for multimodal data stream classification

AIML Projects

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

A Julia machine learning framework

A collection of 8 Applied Data Science projects.

Fast and Accurate ML in 3 Lines of Code

Metro Sea 2024 research projecct repository

Click below to checkout the website

The purpose of this project is to develop and compare two machine learning models to detect spam emails. Spam detection is a crucial task in email filtering systems to protect users from unwanted and potentially harmful emails. The project involves using a dataset containing various features extracted from email content.

Using Random Forest to detect Malicious attacks on the ES6 Website

Dataflow Programming for Machine Learning in R

Authorship Attribution for Romanian

Harmonizing clinical and genetic data to enhance the precision and efficiency of glioma diagnosis.

A package for time series data processing, classification, clustering, and prediction.

Credit Card use prediction using RandomForest Regressor.

This project focuses on predicting epileptic seizures using EEG signals and ensemble learning techniques. It aims to provide accurate and timely predictions to help individuals with epilepsy manage their condition more effectively.

Robocop is a prototype Ensemble model-powered Intrusion Detection System for IoT devices with automated incident triage and containment.