📈 Quant Market Predictor is a Python tool designed to predict stock prices from the NASDAQ
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Updated
Feb 18, 2025 - Python
📈 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``
Building a predictive model to predict views of Ted Talks in YouTube from dataset of past events using Machine Learning models
Guidelines for the course "fundamentals of machine learning"
Python → Machine Learning | Hands-on journey with real datasets and model output charts
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.
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.
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
Developed a machine learning–based fraud detection system to identify potentially fraudulent vehicle insurance claims using historical insurance data. The project applies data preprocessing, exploratory data analysis, and classification models to distinguish between legitimate and fraudulent claims.
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.
"AI-based tool to predict programming problem difficulty using Random Forest."
Practical tasks that were performed during the course Specialization DS
🤖 Predict programming problem difficulty with AI using text analysis and machine learning for accurate complexity scoring.
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
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