Using LazyPredict for Evaluating ML Algorithms

Evaluating machine learning algorithms is a common task performed by data scientists. While a data scientist needs to know the different types of machine learning algorithms to use for different types of problems, it is nevertheless paramount that he puts the different algorithms to work on his/her specific dataset. Only by doing that would he/she have a better sense of which algorithm to use to train the model and how to perform hyper-parameter tuning after that. However, choosing the right algorithms is a time-consuming and exhausting process. Ideally, there should be an automated process where you just need to supply your data and the ideal machine learning algorithm to use would be chosen for you. The answer to this is LazyPredict.