Course curriculum

    1. Course Introduction

    1. Clean Data is King

    2. What Model to Use?

    3. Don't Neglect the Subject Matter Experts

    4. Avoid Overfitting

    5. Scaling Data

    6. Focus on the Right Data

    7. Data Leakage

    8. Start With End in Mind

    9. Can Your Problem be Solved by Machine Learning?

    10. Imbalanced Data

    11. Multicollinearity

    12. Is Accuracy Enough?

    13. Data Story Telling

    14. Types of Bias

About this course

  • Free
  • 15 lessons
  • 0.5 hours of video content