Lovepreetin/LogisticRegression_Scratch
Logistic Regression implemented from scratch using NumPy without machine learning libraries. The project covers sigmoid activation, binary cross-entropy loss, gradient descent optimization, and prediction. It demonstrates the mathematical foundations of logistic regression and how classification models are trained.
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Jupyter Notebook
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MIT
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Last pushed
Mar 16, 2026
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