Practical Machine Learning
Completed by David Stuart Bradshaw
April 19, 2016
8 hours (approximately)
David Stuart Bradshaw'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: Applied Machine Learning
- Category: Regression Analysis
- Category: Random Forest Algorithm
- Category: Classification Algorithms
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: R Programming
- Category: Data Preprocessing
- Category: Feature Engineering
- Category: Machine Learning Methods
