Chapter 7:

Model Improvements

Learning Objectives

By the end of this chapter, you will be able to:

  • Explain and implement the concept of bias and variance trade-off in machine learning models.
  • Perform model assessment with cross-validation.
  • Implement hyperparameter tuning for machine learning models.
  • Improve a model's performance with various hyperparameter tuning techniques.

In this chapter, we will focus on improving a model's performance using cross-validation techniques and hyperparameter tuning.


In the previous chapter, we explored a few strategies that helped us build improved models using feature selection and dimensionality reduction. These strategies primarily focus on improving the model's computational performance ...

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