Practical Machine Learning
Completed by Nicholas Wright
October 9, 2017
8 hours (approximately)
Nicholas Wright'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: Applied Machine Learning
- Category: Classification Algorithms
- Category: Classification And Regression Tree (CART)
- Category: Supervised Learning
- Category: R Programming
- Category: Machine Learning
- Category: Regression Analysis
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Feature Engineering
- Category: Machine Learning Methods
- Category: Data Preprocessing
