- Random Forest
- Machine Learning (ML) Algorithms
- Machine Learning
- R Programming
Practical Machine Learning
Completed by Kenneth Charles Horovatin
October 5, 2015
8 hours (approximately)
Kenneth Charles Horovatin's account is verified. Coursera certifies their successful completion of Practical Machine Learning
What you will learn
Use the basic components of building and applying prediction functions
Understand concepts such as training and tests sets, overfitting, and error rates
Describe machine learning methods such as regression or classification trees
Explain the complete process of building prediction functions