Is sklearn used in production?

The variety of machine learning techniques in combination with the solid implementations that scikit-learn offers makes it a one-stop-shopping library for machine learning in Python . Moreover, its consistent API, well-tested code and permissive licensing allow us to use it in a production environment.

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What is the use of PyCaret library?

PyCaret is a high-level, low-code Python library that makes it easy to compare, train, evaluate, tune, and deploy machine learning models with only a few lines of code . At its core, PyCaret is basically just a large wrapper over many data science libraries such as Scikit-learn, Yellowbrick, SHAP, Optuna, and Spacy.

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Is PyCaret an Automl?

PyCaret is an open-source, low-code machine learning library that helps Data Scientists to automate their machine learning workflows . It simplifies the model experimentation phase and there by allowing them to achieve desired results with minimal code.

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How do you use PyCaret in kaggle?

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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