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
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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
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What I have covered?
-Data preprocessing techniques
- Model selection
- Hyperparameter tuning
- Model performance evaluation
- Using pipelines