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Logistic Regression: Sigmoid, Cross-Entropy, and Classification Metrics
Logistic Regression is one of the most important algorithms in machine learning for classification tasks. In this video, we break down how logistic regression transforms linear outputs into probabilities using the sigmoid function, why binary cross-entropy is used as the loss function, and how decision thresholds affect classification results ...
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