Enhanced Credit Card Fraud Detection using Graph Neural Networks
[Archived] Classical NLP pipeline (2019-2020) predicting Yelp review quality using TF-IDF, FastText, LDA, and traditional ML. Pre-transformer era techniques preserved as a learning resource.
Classical Machine Learning models from skicit-learn and datasets by kaggle.com
Interactive Streamlit app for visualizing decision tree classification boundaries and regression curves with live hyperparameter tuning.
Detecting Indonesian political hoaxes using deep learning and machine learning models.
Classical-ML pipeline on the Home Credit Default Risk dataset: EDA, feature engineering (SMOTE, target encoding, binning), tree models (decision tree, random forest, XGBoost) with imbalance-aware evaluation, and K-Means customer segmentation
Interpretable classical-ML smishing/scam detector — quantifies how Western-trained models fail on India-specific scams (UPI/KYC/FASTag) and fixes the gap with a small India sample. Fully explainable, offline W-vs-A demo. No deep learning.
Building end-to-end machine learning and deep learning projects to gain practical experience across the complete ML workflow.
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