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ML boot camp

Hyperparameter tuning

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ML boot camp

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01 Introduction
01 Introduction
02 Data engineering
02 Data engineering
03 Big data
03 Big data
04 Data visualization
04 Data visualization
05 Regression
05 Regression
- 🐍 Practice
06 Classification
06 Classification
- 🐍 Practice
07 Models panorama
07 Models panorama
08 Model selection
08 Model selection
09 Neural networks
09 Neural networks
10 Tutorials
10 Tutorials

Hyperparameter tuning

Grid search, random search, successive halving, ...

For other algorithms, see:

Hyper-parameter optimizers in scikit-learn
Ray Tune API

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