Practical Machine Learning, eigth course of the data science specialization from Johns Hopkins University on Coursera
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README.md

README.md

pml_project

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