Predicting the ability of a borrower to pay back the loan through Traditional Machine Learning Models and comparing to Ensembling Methods

Personal projects

A Bayesian CNN approach to SDSS image data classification

Determining whether a patient admitted to an ICU has been diagnosed with a particular type of diabetes, Diabetes Mellitus.

Project on extending a Neural Partitioner for the M149 - Database Systems course, NKUA, Spring 2023.

This Project predicts if users will skip or listen to the music they're streamed

This project aims to develop a machine learning pipeline to predict thyroid cancer based on patient data. The dataset was sourced from multiple public repositories, cleaned, and merged to create a comprehensive dataset for modeling. Various classification algorithms were implemented, including Random Forest, Logistic Regression, K-Nearest Neighbors