Practical Machine Learning
Completed by Charlotta Helena Holm
December 13, 2016
8 hours (approximately)
Charlotta Helena Holm'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: Model Training
- Category: Random Forest Algorithm
- Category: Machine Learning Methods
- Category: R Programming
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Supervised Learning
