How to Run 30 Machine Learning Models with Just a Few Lines of Code?

How to Run 30 Machine Learning Models with Just a Few Lines of Code?

Sometimes it is difficult, or at least time-consuming, to select the right algorithm for your task and dataset. Thanks to libraries like scikit-learn, we can create machine learning models in just a few lines of code. However, libraries such as lazy predict are beginning to emerge, which can test 30 different models in just 2 seconds, making your work even more efficient. Check out the links below for a path to a notebook where you can try it out.

Article: https://towardsdatascience.com/how-to-run-30-machine-learning-models-with-2-lines-of-code-d0f94a537e52
Git/notebook: https://github.com/ismael-araujo/Testing-Libraries

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