Practical Machine Learning
Completed by Peter M Scalise
March 4, 2016
8 hours (approximately)
Peter M Scalise'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 Modeling
- Category: Model Evaluation
- Category: Machine Learning
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: R Programming
- Category: Machine Learning Methods
- Category: Machine Learning Software
- Category: Model Training
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Machine Learning Algorithms
