Course curriculum

  • 1

    Introduction to AutoML

    • Learning Objectives

    • What is AutoML?

    • Why AutoML?

    • What Tools Are Available?
  • 2

    Using AutoML with scikit-learn

    • AutoML with scikit-learn

    • Classification with Auto-Sklearn

    • Regression with Auto-Sklearn
  • 3

    End-to-End AutoML Frameworks

    • End-to-End AutoML Frameworks

    • Exploratory Data Analysis with MLJAR

    • Building a Machine Learning Model with MLJAR
  • 4

    Feature Importance with MLJAR

    • Feature Importance with MLJAR

    • Shapley Values
  • 5

    Summary and References

    • Summary of Learning Outcomes

    • References