Practical Machine Learning
Completed by Kim Bargholz
March 20, 2019
8 hours (approximately)
Kim Bargholz'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: R Programming
- Category: Machine Learning
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Data Preprocessing
- Category: Predictive Modeling
- Category: Classification And Regression Tree (CART)
