PyCaret is an open-source, low-code machine learning library in Python. It is designed to streamline the process of training and deploying machine learning models with minimal effort. PyCaret simplifies the workflow by providing a consistent API and a wide range of built-in functions for model selection, preprocessing, feature engineering, and evaluation.

• Provides an easy-to-use API for training and evaluating machine learning models.
• Supports a wide range of machine learning algorithms, including classification, regression, clustering, and anomaly detection.
• Automates tasks like feature scaling, missing value imputation, and encoding categorical variables.
• Allows for model comparison and selection with a simple interface.
• Provides tools for model interpretation and visualization of results.
• Supports integration with popular libraries such as scikit-learn, XGBoost, and LightGBM.

To check the PyCaret version:
$ python -c "import pycaret; print(pycaret.__version__)"