Practical Machine Learning
Completed by Vincent Wilkes
April 23, 2018
8 hours (approximately)
Vincent Wilkes'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: Predictive Analytics
- Category: Machine Learning Software
- Category: Model Training
- Category: Classification And Regression Tree (CART)
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Predictive Modeling
- Category: Machine Learning Algorithms
- Category: Feature Engineering
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: R Programming
