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Implementation and Analysis of performance of pycaret Low code Automl Library on different Machine Learning use cases.

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pycaret-automl-implementation

Implementation and Analysis of performance of pycaret Low code Automl Library on different Machine Learning use cases.


PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that speeds up the experiment cycle exponentially and makes you more productive.

In comparison with the other open-source machine learning libraries, PyCaret is an alternate low-code library that can be used to replace hundreds of lines of code with few lines only. This makes experiments exponentially fast and efficient. PyCaret is essentially a Python wrapper around several machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and few more.

Installation

pip install pycaret

To install the full version:

pip install pycaret[full]

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Implementation and Analysis of performance of pycaret Low code Automl Library on different Machine Learning use cases.

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