Practical Machine Learning
Completed by Alexandra Trampeli
April 18, 2019
8 hours (approximately)
Alexandra Trampeli'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 And Regression Tree (CART)
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Classification Algorithms
- Category: Machine Learning
- Category: Regression Analysis
- Category: Model Training
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: R Programming
