Practical Machine Learning
Completed by Rob Rolleston
March 27, 2016
8 hours (approximately)
Rob Rolleston'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
Skills you will gain
- Category: Predictive Analytics
- Category: Feature Engineering
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Classification And Regression Tree (CART)
- Category: Data Preprocessing
- Category: R Programming
- Category: Model Training
- Category: Random Forest Algorithm
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
