📈 Quant Market Predictor is a Python tool designed to predict stock prices from the NASDAQ

🐾 A lightweight & extensible library to create complex multi-model and multi-modal pipelines, including ``Ensembles`` and ``Meta-Models``

Guidelines for the course "fundamentals of machine learning"

Building a predictive model to predict views of Ted Talks in YouTube from dataset of past events using Machine Learning models

Python → Machine Learning | Hands-on journey with real datasets and model output charts

Machine Learning and Deep Learning Notebooks

Credit Card Fraud Detection Using Machine Learning

Machine Learning Classification Model. Developed a machine learning model to predict student performance (pass/fail) based on academic and behavioral features.

Built and deployed a Basketball Lineup Analytics Engine — a sports-tech decision-support tool that ranks 5-man lineups, recommends substitutions, and evaluates matchup counters.

This is a comprehensive collection of Python implementations covering fundamental machine learning algorithms, data preprocessing techniques, model evaluation methods, and practical applications

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

Utilizing machine learning, this project employs emotion-driven models to recommend movies. By analyzing user reactions, it tailors suggestions for an emotionally engaging cinematic experience.

"AI-based tool to predict programming problem difficulty using Random Forest."

ML and statistical analysis project predicting online news popularity using regression, classification, EDA, preprocessing, and hypothesis testing on the UCI Online News Popularity dataset.

Practical tasks that were performed during the course Specialization DS

Problem to solve: Predict if a candidate would be hired based on specific characteristics; what are the most important features a candidate must have to have higher possibilities of getting the job?

End-to-end Used Car Price Prediction project with a modular ML pipeline integrating Python, Pandas, NumPy, Scikit-learn, and EDA. Features robust preprocessing, feature engineering, and regression modeling to deliver accurate automotive price insights. Ideal for learners, analysts, and developers.