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. •

   Perform Data Cleaning and Feature Engineering

7. •

   Train a Deep Learning Model with Limited Number of Features

8. •

   Practice Opportunity #3 [Optional]

9. •

   Evaluate Trained Deep Learning Model Performance

10. •

    Train and Evaluate a Deep Learning Model with Increased Number of Features

11. •

    Practice Opportunity #4 [Optional]