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codes related to hyperparameter tuning and some classes, functions, etc. I have created to optmize classification problems (Continuously being updated ).

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machine-learning hyperparameter-optimization optuna hyperopt grid-search-hyperparameters random-search scikit-optimize classification-model regression-models feature-selection

useful_codes's Introduction

useful_codes

codes related to hyperparameter tuning and some classes, functions, etc. I have created to optmize classification problems (Continuously being updated ).

1) Grid_Random_Search:

Codes for GridSearch & RandomSearch HP Tuning for classification algos.

2) Hyperopt:

Codes for HP tuning using Hyperopt for selected classification algos.

3) Optuna:

Codes for HP tuning using Optuna for selected classification algos.

3) Scikit_opt_codes:

Codes for HP tuning using Scikit Optimize for selected classification algos.

4) Ready_Codes:

  • Includes classes I have created for quickly checking training scores using 30+ classification algorithms, model validation, calibration, transforming continuous variables using log, power, box-cox, etc, selecting the best feature selection techniques,
  • Libraries to import,
  • Various codes for feature selection techniques, *and so on...

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