MIT

4.2.7 Video 4: CART in R (M-I-T)

4.2.9 Video 5: Random Forests (M-I-T)

4.3.1 Video 1: The Story of D2Hawkeye (M-I-T)

4.3.11 Video 6: Claims Data in R (M-I-T)

4.3.13 Video 7: Baseline Method and Penalty Matrix (M-I-T)

4.3.15 Video 8: Predicting Healthcare Cost in R (M-I-T)

4.3.17 Video 9: Results (M-I-T)

4.3.3 Video 2: Claims Data (M-I-T)

4.3.5 Video 3: The Variables (M-I-T)

4.3.7 Video 4: Error Measures (M-I-T)

4.3.9 Video 5: CART to Predict Cost (M-I-T)

4.4.1 Welcome to Recitation 4 (M-I-T)

4.4.2 Video 1: Boston Housing Data (M-I-T)

4.4.3 Video 2: The Data (M-I-T)

4.4.4 Video 3: Geographical Predictions (M-I-T)

4.4.5 Video 4: Regression Trees (M-I-T)

4.4.6 Video 5: Putting it all Together (M-I-T)

4.4.7 Video 6: The CP Parameter (M-I-T)

4.4.8 Video 7: Cross-Validation (M-I-T)

5.1.1 Welcome to Unit 5 (M-I-T)

5.2.1 Video 1: Twitter (M-I-T)

5.2.10 Video 6: Bag of Words in R (M-I-T)

5.2.12 Video 7: Predicting Sentiment (M-I-T)

5.2.14 Video 8: Conclusion (M-I-T)

5.2.2 Video 2: Text Analytics (M-I-T)