Practical Machine Learning
Completed by Isa Hiroki Watanabe
September 5, 2016
8 hours (approximately)
Isa Hiroki Watanabe'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: Regression Analysis
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Predictive Analytics
- Category: Applied Machine Learning
- Category: Feature Engineering
- Category: Random Forest Algorithm
- Category: R Programming
- Category: Machine Learning Software
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Machine Learning Methods
