Practical Machine Learning
Completed by Zhihe Zhuang
March 7, 2019
8 hours (approximately)
Zhihe Zhuang'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 Algorithms
- Category: Machine Learning
- Category: Classification And Regression Tree (CART)
- Category: Model Training
- Category: Model Evaluation
- Category: Random Forest Algorithm
- Category: Data Preprocessing
- Category: Machine Learning Methods
- Category: Feature Engineering
- Category: R Programming
- Category: Applied Machine Learning
- Category: Machine Learning Software
