Practical Machine Learning
Completed by David Baca
August 27, 2021
8 hours (approximately)
David Baca'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: Machine Learning Algorithms
- Category: Supervised Learning
- Category: Model Training
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Feature Engineering
- Category: Machine Learning Methods
- Category: Data Preprocessing
- Category: Machine Learning
- Category: R Programming
- Category: Classification And Regression Tree (CART)
