Logistic Regression | Theory + Practical Implementation | ROC, AUC, Precision, Recall, F1 Score
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YouTubeFayyaz Savanur
Logistic Regression | Theory + Practical Implementation | ROC, AUC, Precision, Recall, F1 Score
Learn Logistic Regression from Scratch with both Theory and Practical Implementation in Python. In this video, we cover the complete Logistic Regression workflow including Sigmoid Function, Cost Function, Confusion Matrix, Precision, Recall, F1 Score, ROC-AUC Curve, Handling Imbalanced Data using SMOTE, Categorical Encoding, and a real-world ...
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