Practical Machine Learning
Completed by Martin Zummersch
February 19, 2017
8 hours (approximately)
Martin Zummersch'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: Feature Engineering
- Category: Regression Analysis
- Category: Machine Learning Algorithms
- Category: Machine Learning Software
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Classification And Regression Tree (CART)
- Category: Predictive Analytics
- Category: Model Evaluation
- Category: R Programming
- Category: Data Preprocessing
- Category: Classification Algorithms
