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Lecture
Logistic Regression: Interpretation & Feature Engineering
Description
This lecture covers logistic regression, its probabilistic interpretation, and feature engineering techniques. Topics include overfitting/underfitting, train/test data, binary classification, logistic loss model, performance metrics, and data normalization methods.
Official source
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