Use PyCaret to apply 14 ML models at once and explore data
Use PyCaret to apply 14 machine learning models at once with only 5 lines of Python code. PyCaret can also be used to explore data.
For example, first do the following:
pip install pycaret
Then run the following Python code with the built-in "diabetes" dataset:
from pycaret.classification import *
from pycaret.datasets import get_data
diabetes = get_data('diabetes')
exp_clf = setup(diabetes, target='Class variable')
compare_models()
You will then get several outputs including:
PyCaret: Better Machine Learning with Python
Towards Data Science https://towardsdatascience.com/pycaret-better-machine-learning-with-python-58b202806d1e
PyCaret PyPI registry https://pypi.org/project/pycaret
PyCaret GitHub https://github.com/pycaret/pycaret
PyCaret documentation https://pycaret.readthedocs.io/en/latest
PyCaret - An open source low-code machine learning library.
PyCaret Web site https://pycaret.org
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