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PyCaret is an open-source, low-code machine learning library in Python that aims to simplify and accelerate the process of building and deploying machine learning models. It provides a user-friendly interface for a wide range of machine learning tasks, including classification, regression, and clustering.

Features of PyCaret:

• Offers a low-code approach to building machine learning models with minimal coding.
• Supports a variety of machine learning tasks including classification, regression, clustering, and anomaly detection.
• Provides automated machine learning (AutoML) capabilities to streamline model selection and hyperparameter tuning.
• Integrates easily with popular Python libraries such as scikit-learn, XGBoost, and LightGBM.
• Includes built-in visualization tools for model diagnostics and performance evaluation.

To Check Version: python -c "import pycaret; print(pycaret.__version__)"

Disclaimer: PyCaret is open-source software, distributed under specific licensing terms. It is not affiliated with, endorsed by, or sponsored by any company unless explicitly stated. The software is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors hold no responsibility for any damages, losses, or consequences resulting from the use of this software.