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.
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
Detecting Indonesian political hoaxes using deep learning and machine learning models.
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.
A growing repository of applied machine learning and deep learning projects, showcasing end-to-end solutions from data preprocessing and feature engineering to model deployment and production-ready workflows.
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