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Speaker: Data Scientist, Mark III In this session, we'll cover what datasets for Machine Learning and Deep Learning projects look like and how to find them. This will include highlighting some of the most popular datasets in the community today as well as good sources to download these datasets from. Some brief tips and tricks for cleaning up datasets will be covered and we'll conclude the session with a mini-workshop and lab showing how to import and interact with datasets in a Jupyter Notebook. The lab use case that we'll look at focuses around public health and data pulled from various APIs.