Practical Machine Learning
Completed by Daniel Volmer Friedheim
July 5, 2017
8 hours (approximately)
Daniel Volmer Friedheim'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
- Category: Predictive Modeling
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Classification And Regression Tree (CART)
- Category: R Programming
- Category: Machine Learning Methods
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
