Practical Machine Learning
Completed by Andreas Hermann
November 27, 2018
8 hours (approximately)
Andreas Hermann'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: Classification And Regression Tree (CART)
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Machine Learning
- Category: Model Training
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: R Programming
- Category: Feature Engineering
- Category: Data Preprocessing
