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

Sometimes it is difficult, or at least time-consuming, to choose 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 like lazy predict are starting to emerge, which can test 30 different models in just 2 seconds, making your work even more efficient. Take a look at the links below, which also include a path to a notebook for testing.

Article: https://towardsdatascience.com/how-to-run-30-machine…

Git/notebook: https://github.com/ismael-araujo/Testing-Libraries