please use python and make sure the code runs and also if you can, can you show the output. thanks

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