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The Analytics Edge (Spring 2017) (M-I-T)
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Unit 3: Logistic Regression (M-I-T)
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3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)
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3.2.8 Video 5: Thresholding (M-I-T)
3.2.8 Video 5: Thresholding (M-I-T)
Course:
3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)
Discipline:
Social Sciences
Institute:
MIT
Instructor(s):
Prof. Dr. Dimitris Bertsimas
Level:
Graduate
3.2 Modeling the Expert: An Introduction to Logistic Regression (M-I-T)
3.2.1 Video 1: Replicating Expert Assessment (M-I-T)
3.2.10 Video 6: ROC Curves (M-I-T)
3.2.12 Video 7: Interpreting the Model (M-I-T)
3.2.14 Video 8: The Analytics Edge (M-I-T)
3.2.2 Video 2: Building the Dataset (M-I-T)
3.2.4 Video 3: Logistic Regression (M-I-T)
3.2.6 Video 4: Logistic Regression in R (M-I-T)
3.2.8 Video 5: Thresholding (M-I-T)