Practical Machine Learning
Completed by Markus Ovaska
April 6, 2017
8 hours (approximately)
Markus Ovaska'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: Machine Learning Algorithms
- Category: Classification Algorithms
- Category: Model Training
- Category: Machine Learning Methods
- Category: Supervised Learning
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: R Programming
- Category: Random Forest Algorithm
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Machine Learning
