Practical Machine Learning
Completed by Brian Howard
February 3, 2016
8 hours (approximately)
Brian Howard'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 Modeling
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Data Preprocessing
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning Methods
- Category: Feature Engineering
- Category: Machine Learning
