gunjitsinha / machine-failure-prediction Star 0 Code Issues Pull requests Three classification models trained to predict failures of machines on the production line. random-forest scikit-learn classification lightgbm logistic-regression f1-score recall-precision stratified-cross-validation standard-scaler pr-auc Updated Feb 26, 2026 Jupyter Notebook
amiripar / tabular-imbalance-benchmark Star 0 Code Issues Pull requests End-to-end ML pipeline for imbalanced tabular data using Neural Networks and LightGBM with PR-AUC optimization, calibration, and stacking. data-science machine-learning deep-learning tensorflow tabular-data classification lightgbm imbalanced-data fraud-detection pr-auc Updated Feb 19, 2026 Jupyter Notebook
saad-sharif / Credit-Risk-Dataset Star 0 Code Issues Pull requests Analysis into a credit risk dataset and application of several supervised learning models to predict the binary variable on default status random-forest cross-validation supervised-learning classification logistic-regression confusion-matrix support-vector-machines linear-svm credit-risk roc-auc-curve pr-auc Updated Feb 21, 2026 Jupyter Notebook