ninapannn / machine_learning Goto Github PK

2023-03

• An example for the steepest descent method with a self-defined quadratic, multivariable objective function

2023-04

Includes model selection with different hyparameters, model measuring with accuray or score, model visualization with matplotlib

• What I have learned?

  • Using supervised learning techniques to build predictive models
  • For both regression and classification problems
  • Underfitting and overfitting
  • How to split data
  • Perform cross-validation

• What I have covered?

  -Data preprocessing techniques

  • Model selection
  • Hyperparameter tuning
  • Model performance evaluation
  • Using pipelines