In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

1. •

   Understand the Problem Statement and Business Case

2. •

   Import Libraries and Datasets

3. •

   Practice Opportunity #1 [Optional]

4. •

   Perform Data Visualization

5. •

   Practice Opportunity #2 [Optional]

6. •

   Create Training and Testing Datasets

7. •

   Train a Logistic Regression Classifier Model

8. •

   Evaluate Trained Model Performance

9. •

   Understand the theory of Decision Trees and Random Forest

10. •

    Improve the Model

11. •

    Practice Opportunity #3 [Optional]