Classification in TabularDataset
International Soccer Game Analysis in Python
CV-Detect: A Django web app using machine learning for cardiovascular disease predictions. Designed for healthcare professionals, it features an intuitive interface, responsive design, and accurate predictions. Enhance cardiovascular health decisions with technology and medical expertise. Explore the future of healthcare!
Kaggle
An advanced tabular pipeline extending the Kawamata paradigm for Kaggle. Features 1D Wasserstein Distance (Optimal Transport), Relativistic Delay Factors, and Out-of-Fold Bayesian target encoding within a regularized Triple Ensemble Stack (CatBoost, LightGBM, XGBoost). Fully insulated from public leaderboard shake-down.
This project leverages advanced machine learning techniques to predict musical genres based on various sonic signatures within tracks. By analyzing attributes such as tempo, speechiness, and acousticness, we aim to provide an accurate classification that underscores the intrinsic nature of each song.
Computer vision application project capable of identifying traffic signs through photos and videos. ENSEM school project.
🚢 End-to-end Titanic ML project with EDA, feature engineering & ensemble models achieving ~84% accuracy. Beginner-friendly Kaggle guide.
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