Practical Machine Learning
Completed by Robert Huntsman
May 20, 2016
8 hours (approximately)
Robert Huntsman'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
- Category: Applied Machine Learning
- Category: Predictive Modeling
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Supervised Learning
- Category: Model Training
- Category: Predictive Analytics
