How To Use The LazyPredict Python Library To Select The Best Machine Learning Model In One Line

Author(s): Serafeim Loukas, PhD

Originally published on Towards AI.

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Photo by Andrea De Santis on Unsplash.

Lazypredict is a cutting-edge Python library that revolutionizes the process of building machine-learning models. With Lazypredict, we can easily build a wide range of basic models with minimal coding, enabling us to focus on selecting the best model for our data.

The library’s core feature is its ability to simplify model selection without the need for extensive parameter tuning. Thus, Lazypredict provides an effortless and efficient solution for fitting and selecting the best models for our data.

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LazyClassifier provides a convenient and efficient way to fit and evaluate multiple machine learning models, simplifying the… Read the full blog for free on Medium.

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Published via Towards AI