Linear Regression

Introduction to Machine Learning Algorithms course - Session 2
Exercise 1
- Partition data into train and test set
- Train a linear regression model
- Apply the trained model to the test set
- Handle missing values
- Evaluate the mode performance with the Numeric Scorer

External resources

• Slides (Introduction to ML Algorithms course)
• The Learner-Predictor construct in KNIME