Logistic Regression implemented from scratch in Python using gradient descent, with metrics and visualizations
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numerical stable sigmoid and tracking loss per iteration
c1564eeView on GitHubDocument preprocessing, metrics, and ROC/AUC functions; organize into clear sections
3e048e3View on GitHubAdd explanatory comments for data loading, preprocessing, training, evaluation, and plotting
fbaff72View on GitHubAdd docstrings and comments to LogisticRegressionModel, clarify gradient descent updates
7d1a6daView on GitHub