PyCaret is an open-source, low-code machine learning library in Python that automates and simplifies the end-to-end model building process.

Features of PyCaret:

Provides a simple and intuitive API for machine learning tasks.
Automates data preprocessing, feature engineering, and model selection.
Supports multiple ML frameworks including Scikit-Learn, XGBoost, LightGBM, and CatBoost.
Offers built-in experiment tracking and deployment options.
Facilitates hyperparameter tuning, model comparison, and pipeline automation.

To check PYCARET version:

$ sudo su

$ python3.10 -m venv pycaret-env

$ source pycaret-env/bin/activate

$ python -c "import pycaret; print(pycaret.__version__)"

Disclaimer: PyCaret simplifies machine learning model development, but improper data preprocessing, feature selection, or model evaluation can lead to inaccurate results. It is recommended to validate models carefully and ensure proper data handling for reliable performance.

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