Εxercises for Machine Learning course in Faculty of Informatics of Aristotle's University of Thessaloniki

Machine Learning Application In The Medical Field Used for predicting the occurrence of stroke for the patients depends on the patient information

This repo is about the cyber security project where malware is detected and classified

Applies Machine Learning approach to predict spam.

Multiclass Dry Bean Classification using Multinomial logistic regression, Random Forest, MLP neural network, Hybrid voting ensemble

In this project, different supervised machine learning algorithms like Decision Tree, Naive Bayes, K-nearest neighbour,Random Forsest, Logistic Regression etc. were trained on the training data set and then Ensemble Learning was used to improve the accuracy were

Voting Ensemble & Stock Prediction - Project Submission for Data Mining & Machine Learning Module

Exploration and optimization of a ML pipeline, delving into various techniques for enhancing different stages of ML workflows, including data preprocessing, feature engineering, model selection, and hyperparameter tuning.

JOB-A-THON|MAY(2021)

AI-powered non-invasive screening tool for early detection of Parkinson's Disease using vocal characteristics, DSP, and a Voting Ensemble Machine Learning model.

Implementation of different types of machine learning algorithm and there performance comparison on a same dataset

Machine learning pipeline for detecting fake news using TF-IDF, XGBoost, feature engineering, and ensemble modeling with domain-specific performance analysis.

Repository of Machine Learning project

This project demonstrates various ensemble learning techniques using Jupyter Notebook. The goal is to explore how ensemble methods can improve the performance of machine learning models for both regression and classification tasks.