Practical Machine Learning
Completed by Ioana-Alexandra Marinica
May 9, 2019
8 hours (approximately)
Ioana-Alexandra Marinica'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: Supervised Learning
- Category: Classification Algorithms
- Category: R Programming
- Category: Machine Learning Algorithms
- Category: Random Forest Algorithm
- Category: Machine Learning
- Category: Model Training
- Category: Machine Learning Methods
- Category: Data Preprocessing
- Category: Classification And Regression Tree (CART)
- Category: Predictive Modeling
- Category: Machine Learning Software
