This is a end to end ML system pipeline

In this project, I explore a dataset of exoplanets, planets outside our solar system, aiming to extract insights using data analysis techniques. The dataset contains information on 1013 exoplanets …

This study evaluates and optimizes the k-Nearest Neighbors (k-NN) classifier, a machine learning algorithm that can find patterns in large, highdimensional datasets.

CryoET Object Identification - Supervised 3D Image Segmentation

The objective of this project is to implement two different domain adaptation methods and to test them on the real-world computer vision Office/Caltech dataset

Comming soon

Github README

I have developed a deep learning model designed to predict CVD using ANNs and CNNs.

This repository documents our comprehensive approach to building an effective recommendation system for predicting customer repurchases on Carrefour's eCommerce platform. Starting with simple stati…

This project is the part of the Machine Learning Algorithms course of our second semester of Machine Learning and Data Mining at Jean Monnet Universityg and

This project focuses on classifying pulsar stars using the Support Vector Machine (SVM) algorithm, a powerful method in the realm of supervised learning. The goal is to automate the identification …