This course, which is the eighth course of the data science specialization from Johns Hopkins University on Coursera, focuses on developing the tools and techniques for understanding, building, and testing prediction functions.
Verified Course Record is available at https://www.coursera.org/account/accomplishments/records/VcbK3rWx9AmGBS4Z
Course Content
Prediction study design
In sample and out of sample errors
Overfitting
Receiver Operating Characteristic (ROC) curves
The caret package in R
Preprocessing and feature creation
Prediction with regression
Prediction with decision trees
Prediction with random forests
Boosting
Prediction blending