I observed in the labs and it was clearly stated that it is recommended to visualize your data because it paints a clear picture of how the features are related to the target. I’d like to know how you would visualize data with multiple features ( > 2).
Most of the examples in the labs used either a single feature or two feature data.
Hi!
For data with multiple features I would recommend a correlation heatmap which shows how each feature is correlated with the others. At a glance you can see how each feature affects the target variable and each other feature.
Image from:
(How to create a seaborn correlation heatmap in Python? - GeeksforGeeks).
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