RSNA - Lumbar Spine Degenerative Classification. To develop model(s) for detecting and classifying degenerative spine conditions using lumbar spine MRI images, simulating the diagnostic performance of radiologists.

A multi-platform GUI for bit-based analysis, processing, and visualization

This is one of the projects from the MIT Data Science program July 2023

Predicts heart failure using logistic regression on clinical data.

The purpose of this project is to predict student loan repayment success using a neural network. Neural networks are computational models inspired by the human brain's structure and function, consisting of layers of interconnected nodes or "neurons" that can learn to recognize patterns in data.

Refactory Final

NeuroMelNet - End-to-End binary classification model for AI speech detection with PyTorch implementation. Python API & Tg-bot API

Model for Identification of Alzheimer's Disease by Brain MRI.

Stroke prediction project

An ML-based project designed to accurately classify email messages as either spam or ham (non-spam)

This is a basic implementation of support vector machines(SVMs) and Perceptron for multi classes (MLP) based on their generalized closed form of formulas.

The project contains a CatBoost model that makes predictions according to an uploaded csv file using a flask wrapper.

Fast and customizable framework for automatic ML model creation (AutoML)

KANs for text classification on GLUE tasks

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.

The code loads dog and cat images, extracts HOG descriptors, labels them, splits the data into training and test sets, trains an SVM model, and predicts a test image.

UCL PHAS0056 (Machine Learning for Physicists) Final Project. Applying ML techniques to the binary classification and energy reconstruction of simulated neutrino events in LArTPCs

Modèles de classification binaire.

Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

A fast and frugal tree classifier for sklearn