Generative AI tools & platforms (2025): EDA + baseline classifiers (LogReg/RF/GradBoost) with Macro-F1/ROC-AUC + confusion matrix reporting.
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Updated
Feb 8, 2026 - Jupyter Notebook
Generative AI tools & platforms (2025): EDA + baseline classifiers (LogReg/RF/GradBoost) with Macro-F1/ROC-AUC + confusion matrix reporting.
Permission-based privacy risk classification for Android apps using weak labels and baseline ML models.
End-to-end café inventory project: clean transaction data, build daily item-level demand series, backtest strong baseline forecasters, generate next-30-day demand forecasts, convert forecasts into safety stock + reorder points, and validate policies with Monte Carlo stockout-risk simulations, wrapped in a Streamlit dashboard.
Baseline classifier benchmarks on a small dataset using scikit-learn. Compares Logistic Regression vs Random Forest with metrics and confusion matrix.
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