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In this course, you will :
- Understand the distinction between hyperparameters and parameters.
- Learn some best practise tips and tricks for deciding which hyperparameters to tune and what values to set, as well as how to create learning curves to analyse your hyperparameter choices.
- introduces you to Grid Search, a popular automated hyperparameter tuning methodology.
- Learn what it is, how it works, and how to conduct a Grid Search with Scikit Learn.
- Learn how to analyse the results of a Grid Search and gain hands-on experience doing so.
- Random Search is another popular automated hyperparameter tuning methodology.
- Learn about the benefits and drawbacks of this method, as well as when to use it instead of Grid Search.
- Learn how informed search differs from uninformed search and gain hands-on experience with each of the methodologies mentioned, comparing and contrasting them as you go.
Syllabus :
- Hyperparameters and Parameters
- Grid search
- Random Search
- Informed Search
