1 branch. Please give us ⭐️ on our GitHub repo if you like PyCaret. Bio: Moez Ali is a Data Scientist, and is Founder & Author of PyCaret.
Read moreWhy do we use PyCaret?
PyCaret is a high-level, low-code Python library that makes it easy to compare, train, evaluate, tune, and deploy machine learning models with only a few lines of code.
Read moreWhat is the use of PyCaret?
PyCaret is a high-level, low-code Python library that makes it easy to compare, train, evaluate, tune, and deploy machine learning models with only a few lines of code . At its core, PyCaret is basically just a large wrapper over many data science libraries such as Scikit-learn, Yellowbrick, SHAP, Optuna, and Spacy.
Read moreDoes PyCaret use Scikit learn?
The PyCaret regression module, which uses sklearn under the hood , lets you create and test regression models with a few lines of code. It includes a variety of algorithms, as well as the ability to plot and do hyperparameter tuning.
Read moreIs PyCaret open-source?
PyCaret is completely free and open-source and licensed under the MIT license.
Read moreIs PyCaret an Automl?
PyCaret is an open-source, low-code machine learning library that helps Data Scientists to automate their machine learning workflows . It simplifies the model experimentation phase and there by allowing them to achieve desired results with minimal code.
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