Practical Machine Learning
Completed by Sylvester Nathanja de Koning
March 30, 2016
8 hours (approximately)
Sylvester Nathanja de Koning'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: Classification Algorithms
- Category: Predictive Analytics
- Category: Classification And Regression Tree (CART)
- Category: Random Forest Algorithm
- Category: Supervised Learning
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Model Training
- Category: Machine Learning Methods
- Category: Data Preprocessing
