How do you use PyCaret in kaggle?

The PyCaret regression module, which uses sklearn under the hood , lets you create and test regression models with a few lines of code. It includes a variety of algorithms, as well as the ability to plot and do hyperparameter tuning.

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To use pycaret’s automl, you can basically enter the input data, the desired target column name, the number of folds of the cross validation, and the rest of the settings as desired. There are many different settings you can put in. Normalize, remove outliers, etc. You can add your insights.

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