Python PyCaret Intoduction to PyCaret

Python PyCaret Intoduction to PyCaret

Introduction to PyCaret

PyCaret is an open source, low-code machine learning library in Python that automates machine learning workflow. It is an end-to-end machine learning and model management tool that speeds up machine learning experiment cycle 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 words only. This makes experiments exponentially fast and efficient.


Why use PyCaret?



PyCaret 2.0 Features


Installing PyCaret 2.0

Installing PyCaret is very easy and takes only a few minutes. We strongly recommend using virtual environment to avoid potential conflict with other libraries. See the following example code to create a conda environment and install pycaret within that conda environment:

# create a conda environment 
conda create --name yourenvname python=3.6  # activate environment 
conda activate yourenvname  # install pycaret 
pip install pycaret==2.0  # create notebook kernel linked with the conda environment python -m ipykernel install --user --name yourenvname --display-name "display-name"

If you are using Azure notebooks or Google Colab, run the following code to install PyCaret.

!pip install pycaret==2.0

All hard dependencies are automatically installed when you install PyCaret using pip.

. . .

Happy Pythoning....!!

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