MISSION 135

Machine Learning Project Walkthrough: Making Predictions

Train, test, and iterate on machine learning models.

Objectives

  • Learn how to choose an error metric.
  • Learn how to train and test your model using common machine learning algorithms.

Mission Outline

1. Recap
2. Picking an error metric
3. Picking an error metric
4. Class imbalance
5. Class imbalance
6. Logistic Regression
7. Cross Validation
8. Penalizing the classifier
9. Penalizing the classifier
10. Manual penalties
11. Random forests
12. Next Steps

Course Info:

Machine Learning Project

Intermediate

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

This course requires a premium subscription and includes three Machine Learning Project Walkthroughs.  It is the 25th course in the Data Scientist in Python path.

START LEARNING FREE

Take a Look Inside

Share On Facebook
Share On Twitter
Share On Linkedin
Share On Reddit