Practical Machine Learning
Completed by Christian Posadas
February 16, 2016
8 hours (approximately)
Christian Posadas'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: Supervised Learning
- Category: Machine Learning
- Category: Random Forest Algorithm
- Category: Predictive Analytics
- Category: Model Training
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Classification Algorithms
- Category: R Programming
- Category: Predictive Modeling
