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M2S5: Statistical Analysis I: Visualizing Data

  • 23Steps


It’s the moment you’ve been waiting for… well, almost. Before we begin actually building the model, we need to set up our coding environment and run a few data visualizations just to make sure everything is ready for training. Think of it like constructing the foundations for a house before putting up the walls. In this micro lesson, you will be learning how to use online python notebooks such as Google Collab and Jupyter before diving into libraries for exploratory data analysis (EDA). Finally, you’ll be putting your coding skills to the test by running a few visualizations on the data! Please refer to ASF's Paper Consumption Program for registration instructions:

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