Practical Machine Learning
Completed by Pat (PBPR) O'Keeffe
March 1, 2018
8 hours (approximately)
Pat (PBPR) O'Keeffe'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: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Predictive Analytics
- Category: Predictive Modeling
- Category: Classification And Regression Tree (CART)
- Category: Model Evaluation
- Category: Machine Learning Software
- Category: R Programming
- Category: Machine Learning
