Text Sentiment Analysis using Ensembles

A list of my projects I've worked on until 2019.

Combinin' several ML techniques into one predictive model.

The job interview for "Turk AI" company

Here is developed a project for the Data Intensive Applications Programming Course.

contains basic starter code when i started machine learning

Generic image classifiers implemented

This work is a small test to demonstrate the F-test and described in the MLxtend paper. It uses the Iris dataset. To conduct the test, we compare the accuracy of 5 different models, and then test the null hypothesis

A collection of substantial projects I completed for the CS156 Machine Learning course.

Machine Learning Stroke Outcome Prediction

Repo hosting the notebooks for the assignments of the fall 21 "Neural Networks and Intelligent Systems" course @ NTUA

EDA of Brain Tumor Data, Heart Disease Classifier

Homework for 572 NLP. Mostly classifiers.

Pitting Neural Networks against a gamut of classifiers such as Naive Bayes, Decision Trees, SVM in classifying posts into subreddits.

BlogFeedback Data Set - Linear regression

Supervised learning methods for biometric authentication on mobile devices

Assignments for course MachineLearning

Kmeans And Hierarchical Clustering Analysis Program for Clustering Visualization using Iris Dataset

The Diabetes Prediction Application serves as a valuable tool for individuals to assess their risk of diabetes based on personal health information. By leveraging machine learning techniques, the application provides accurate predictions, aiding users in making informed decisions about their health.

Photometric light curves classification with machine learning