Practical Machine Learning
Completed by Geoffrey Skellams
December 12, 2017
8 hours (approximately)
Geoffrey Skellams'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 Algorithms
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Model Training
- Category: Regression Analysis
- Category: Machine Learning
- Category: Predictive Analytics
- Category: R Programming
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Machine Learning Algorithms
- Category: Classification And Regression Tree (CART)
