PyCaret

**PyCaret** is an open-source, low-code Python library for **automated machine learning (AutoML)**. It simplifies the end-to-end machine learning workflow, including data preprocessing, model training, hyperparameter tuning, evaluation, and deployment, making it accessible for both beginners and experts.

Features of PyCaret:

• Provides a simple, consistent API for classification, regression, clustering, anomaly detection, and time series tasks.
• Supports a wide range of machine learning algorithms, including traditional ML, ensemble methods, and deep learning models.
• Automates repetitive ML tasks like feature engineering, preprocessing, model selection, and hyperparameter tuning.
• Facilitates reproducible research and easy benchmarking of ML models.
• Integrates seamlessly with popular Python libraries like **scikit-learn**, **XGBoost**, **LightGBM**, and **CatBoost**.
• Open-source and actively maintained, widely used in research, industry, and educational projects.

To check the installed version of Pycaret on Ubuntu 24.04, run these commands in your environment:

$ sudo su
$ sudo apt update
$ cd /opt/pycaret
$ source /opt/pycaret/pycaret-env/bin/activate
$ pip show pycaret | grep Version

Disclaimer: PyCaret is released under the MIT License and maintained by the PyCaret community. Users are responsible for correct usage in their specific applications. Always refer to the official PyCaret documentation for the most accurate and up-to-date information.