Practical Machine Learning
Completed by Keith Leonard Swaback
May 25, 2017
8 hours (approximately)
Keith Leonard Swaback'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: Feature Engineering
- Category: Predictive Modeling
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Model Training
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Data Preprocessing
- Category: Regression Analysis
- Category: R Programming
- Category: Machine Learning Methods
- Category: Supervised Learning
