MOOC/Practical Machine Learning (r programing)
- Term Project 2016.04.07
- Certification and Comments 2015.12.04
- Week 04: Regularized Regression 2015.11.24
- Week03: Model based prediction 2015.11.23
- Week03: Boosting 2015.11.23
- Week 03: Random Forests 2015.11.23
- Week 03: Bagging 2015.11.19
- Week 03: Predicting with trees 2015.11.19 (1)
- Week 02: Predicting with Regression Multiple Covariates 2015.11.16
- Week 02: Predicting with Regression 2015.11.16
- Week 02: Covariate creation, Pre-processing with principal components analysis 2015.11.15
- Week 02: Basic preprocessing, Covariate creation 2015.11.15
- Week 02: Training options, Plotting predictions 2015.11.13
- Week 02: Caret Package, dataSlicing 2015.11.13
- Week 01: Receiver Operating Characteristic, Cross validation 2015.11.09
- Week 01: Prediction study design, Types of errors 2015.11.08
- Week 01: Relative importance of steps, In sample and out of sample errors 2015.11.07
- Week 01: Prediction motivation, What is prediction? 2015.11.07
