3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)

S#	Lecture	Course	Institute	Instructor	Discipline
1	3.2.1 Video 1: Replicating Expert Assessment (M-I-T)	3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)	MIT	Prof. Dr. Dimitris Bertsimas	Social Sciences
2	3.2.10 Video 6: ROC Curves (M-I-T)	3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)	MIT	Prof. Dr. Dimitris Bertsimas	Social Sciences
3	3.2.12 Video 7: Interpreting the Model (M-I-T)	3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)	MIT	Prof. Dr. Dimitris Bertsimas	Social Sciences
4	3.2.14 Video 8: The Analytics Edge (M-I-T)	3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)	MIT	Prof. Dr. Dimitris Bertsimas	Social Sciences
5	3.2.2 Video 2: Building the Dataset (M-I-T)	3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)	MIT	Prof. Dr. Dimitris Bertsimas	Social Sciences
6	3.2.4 Video 3: Logistic Regression (M-I-T)	3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)	MIT	Prof. Dr. Dimitris Bertsimas	Social Sciences
7	3.2.6 Video 4: Logistic Regression in R (M-I-T)	3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)	MIT	Prof. Dr. Dimitris Bertsimas	Social Sciences
8	3.2.8 Video 5: Thresholding (M-I-T)	3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)	MIT	Prof. Dr. Dimitris Bertsimas	Social Sciences

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