Question: use python please - Build your Pythagoras dataset to include 400 random triangles with sizes from 2cm to 2000cm on each side - Split it
- Build your "Pythagoras dataset" to include 400 random triangles with sizes from 2cm to 2000cm on each side - Split it into training and test portions using sklearn.model_selection.train_test_split - Scale using std_scaler and figure out how to use a sklearn.pipeline so you don't have to keep remembering to scale all of your Xs - Get your super simple MLPs running as suggested on slide 17- Success is: max error
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