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A2.1 Understanding Classification as a Machine Learning Problem

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A2. Building Classification Models with scikit-learn Understanding Classification as a Machine Learning Problem: 1. Module Overview 2. Prerequisites and Course Outline 3. Classification as a Machine Learning Problem 4. Logistic Regression Intuition 5. Cross Entropy Intuition 6. Accuracy, Precision, and Recall 7. Determining Decision Threshold Using ROC Curves 8. Types of Classification 9. Module Summary

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