Practical Machine Learning
Completed by Christianne Greer Entwistle
February 3, 2016
8 hours (approximately)
Christianne Greer Entwistle'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: R Programming
- Category: Feature Engineering
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Model Training
- Category: Data Preprocessing
- Category: Machine Learning Software
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Predictive Analytics
- Category: Classification And Regression Tree (CART)
- Category: Classification Algorithms
