Practical Machine Learning
Completed by Mathieu Karel Licht
April 13, 2024
8 hours (approximately)
Mathieu Karel Licht'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: Applied Machine Learning
- Category: Regression Analysis
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Supervised Learning
- Category: Model Training
- Category: R Programming
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Machine Learning Software
