On Finetuning Tabular Foundation Models Paper Code
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Sep 3, 2025 - Python
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tabular-ml
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A complete machine learning and deep learning pipeline for customer churn prediction. Includes preprocessing, model training (RandomForest, XGBoost, CatBoost, Keras), evaluation (confusion matrix, ROC, feature importance), and best model saving using callbacks.
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Oct 1, 2025 - Python
This project focuses on predicting the likelihood of heart disease using machine learning techniques. The dataset includes medical features like age, blood pressure, cholesterol, and heart rate. The model uses algorithms like CatBoost and Random Forest to predict the presence of heart disease, assisting early diagnosis.
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Aug 9, 2025 - Jupyter Notebook
A complete fraud detection pipeline using ML models (CatBoost, XGBoost, LightGBM), class weighting, SMOTE, and custom feature engineering. Achieved strong recall and precision balance for real-world deployment.
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Oct 1, 2025 - Python
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