Advanced Streamlit + Plotly sentiment analysis lab: TF-IDF (word+char), multi-model training, ROC/PR AUC evaluation, cost-aware threshold tuning, error analysis, and live prediction.
Decision-first fraud screening: Streamlit analytics UI + FastAPI inference, artifact-locked RF/XGB models, and threshold policy controls.
End-to-end ML pipeline for UCI Heart Disease classification. Includes leak-safe preprocessing, baseline + Random Forest + HistGradientBoosting, val-tuned thresholds, and CI that generates a downloadable reports artifact. Best model (HGB) hits F1=0.872, Acc=0.891 on the held-out test set
Anomaly detection framework for distributed systems reliability.
Reproducible ML pipeline for disease classification with cross-validation, model comparison and threshold analysis for clinical screening.
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