Often the hardest part of solving a machine learning problem can be finding the right estimator (algorithm) for the job.
Different estimators are better suited for different types of data and different problems.
The flowchart below is designed to give users a bit of a rough guide on how to approach problems with regard to which estimators to try on your data.
https://scikit-learn.org/stable/tutorial/machine_learning_map/
This is a useful article
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