📈 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"
Datdy is an integrated research project combining Exploratory Data Analysis (EDA) and Machine Learning to optimize profitability for fashion e-commerce businesses in Vietnam. The project addresses the challenge of forecasting seasonal revenue fluctuations and proposes a data-driven 'Loss Leader' business strategy.
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
Bangla fake news detection using TF-IDF, classical ML models (Logistic Regression, SVM, XGBoost, etc.), and fine-tuned multilingual BERT — built with PyTorch and Scikit-learn.
🤖 Predict programming problem difficulty with AI using text analysis and machine learning for accurate complexity scoring.
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
Sentiment analysis using TF-IDF and Logistic Regression (NLP project)
A collection of Python implementations covering fundamental machine learning algorithms, preprocessing techniques, regression, classification, clustering, evaluation metrics, and practice problems.
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.
This is a comprehensive collection of Python implementations covering fundamental machine learning algorithms, data preprocessing techniques, model evaluation methods, and practical applications
"AI-based tool to predict programming problem difficulty using Random Forest."
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?
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