MIT

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)

3.3.1 Video 1: The Framingham Heart Study (M-I-T)

3.3.11 Video 6: Overall Impact (M-I-T)

3.3.3 Video 2: Risk Factors (M-I-T)

3.3.5 Video 3: A Logistic Regression Model (M-I-T)

3.3.7 Video 4: Validating the Model (M-I-T)

3.3.9 Video 5: Interventions (M-I-T)

3.4.1 Welcome to Recitation 3 (M-I-T)

3.4.2 Video 1: Election Prediction (M-I-T)

3.4.3 Video 2: Dealing with Missing Data (M-I-T)

3.4.4 Video 3: A Sophisticated Baseline Method (M-I-T)

3.4.5 Video 4: Logistic Regression Models (M-I-T)

3.4.6 Video 5: Test Set Predictions (M-I-T)

4.1.1 Welcome to Unit 4 (M-I-T)

4.2.1 Video 1: The Supreme Court (M-I-T)

4.2.11 Video 6: Cross-Validation (M-I-T)

4.2.13 Video 7: The Model v. The Experts (M-I-T)

4.2.3 Video 2: CART (M-I-T)

4.2.5 Video 3: Splitting and Predictions (M-I-T)