Course curriculum

    1. Overview

    2. Prerequisites

    3. File to download

    4. Quick Outline

    5. Review General steps

    6. Read Data

    7. Test your Understanding

    8. Need for ML

    9. Identify inputs

    10. Start preprocessing

    11. Understand code

    12. Why dummies are used

    13. Discuss Drop First

    1. Recap

    2. Recap continued

    3. Organize DataFrame

    4. Rename columns

    5. Discuss need for Testing Data

    6. Use scikit learn

    7. Segregate output

    8. Split into Training/Testing data

    9. Challenge problem

    10. Discuss Input & Output

    11. More explanation

    12. Challenge answer

    13. Congratulations on completing this course!

About this course

  • $295.00
  • 26 lessons
  • 1 hour of video content

What others are saying about this course

5 star rating

Great all throughout!

Bao Nguyen

My favorite part about this course is starting to apply the previous courses' concepts into an actual data set. On top of that, I like the emphasis of prepar...

Read More

My favorite part about this course is starting to apply the previous courses' concepts into an actual data set. On top of that, I like the emphasis of preparing the data properly beforehand and how intuitive the explanations are once again

Read Less