📈 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

Credit Card Fraud Detection Using Machine Learning

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.

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

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

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."

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?

Machine Learning and Deep Learning Notebooks

🤖 Predict programming problem difficulty with AI using text analysis and machine learning for accurate complexity scoring.

With imbalanced observed data, a search for the best model is conducted. The bank is seeing its customers leave. Wondering if there are patterns to their decision to exit, the bank wishes to anticipate for this trend. When the positive class is the minority in an imbalanced dataset, a model need to be trained for robustness.

Modelo preditivo de Machine Learning para identificar evasão de clientes (Churn) no setor de telecomunicações e propor estratégias de retenção.

A machine learning–based spam email detection system