Course curriculum

  • 1

    Introduction

    • Course Introduction
  • 2

    Mistakes to Avoid

    • Clean Data is King

    • What Model to Use?

    • Don't Neglect the Subject Matter Experts

    • Avoid Overfitting

    • Scaling Data

    • Focus on the Right Data

    • Data Leakage

    • Start With End in Mind

    • Can Your Problem be Solved by Machine Learning?

    • Imbalanced Data

    • Multicollinearity

    • Is Accuracy Enough?

    • Data Story Telling

    • Types of Bias