Practical Machine Learning
Completed by Duncan Alexander McPherson
January 29, 2017
8 hours (approximately)
Duncan Alexander McPherson'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: Data Preprocessing
- Category: Feature Engineering
- Category: Machine Learning Methods
- Category: Machine Learning Software
- Category: Machine Learning Algorithms
- Category: Supervised Learning
- Category: Classification And Regression Tree (CART)
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Predictive Analytics
- Category: Machine Learning
