Practical Machine Learning
Completed by Karl Molden
March 18, 2016
8 hours (approximately)
Karl Molden'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: Classification Algorithms
- Category: Supervised Learning
- Category: Predictive Analytics
- Category: Applied Machine Learning
- Category: Regression Analysis
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning Methods
- Category: Data Preprocessing
- Category: Machine Learning Algorithms
- Category: Random Forest Algorithm
- Category: Machine Learning
- Category: Model Training
