MISSION 236

Feature Selection

Learn how to select features for linear regression.

Objectives

  • Learn to choose appropriate features for your model.
  • Learn to generate a heatmap for your data.

Mission Outline

1. Missing Values
2. Correlating Feature Columns With Target Column
3. Correlation Matrix Heatmap
4. Train And Test Model
5. Removing Low Variance Features
6. Final Model
7. Next Steps
8. Takeaways

Course Info:

Linear Regression for Machine Learning

Intermediate

The average completion time for this course is 10-hours.

This course requires a premium subscription and includes five missions and one guided project.  It is the 21st course in the Data Scientist in Python path.

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