This story was originally published on HackerNoon at: https://hackernoon.com/16-best-sklearn-datasets-for-building-machine-learning-models. Sklearn datasets are included as part of the scikit-learn (sklearn) library, so they come pre-installed with the library. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #sklearn, #datasets, #datascience, #sklearn-datasets, #machine-learning, #python-programming, #dataset, #hackernoon-top-story, and more. This story was written by: @datasets. Learn more about this writer by checking @datasets's about page, and for more stories, please visit hackernoon.com. Sklearn is a Python module for machine learning built on top of SciPy. It is unique due to its wide range of algorithms and ease of use. Data powers machine learning algorithms and scikit-learn. Sklearn offers high quality datasets that are widely used by researchers, practitioners and enthusiasts.