A comprehensive machine learning analysis and comparison study predicting the occurrence of heart disease using multiple classification algorithms.
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Updated
Mar 3, 2026 - Jupyter Notebook
A comprehensive machine learning analysis and comparison study predicting the occurrence of heart disease using multiple classification algorithms.
1D CNN for customer complaint text classification using PyTorch.
Machine Learning projects featuring classification, regression, and data preprocessing with scikit-learn and Python
Machine Learning model to predict next-day rainfall using Australian weather data (84% accuracy).
End-to-end credit card fraud detection pipeline — Isolation Forest, LOF & XGBoost with SMOTE balancing — served via an interactive Streamlit dashboard.
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