Asked about Shaping inputs so the model can use them
When does feature scaling matter?
An answer that works
For linear models, neural networks and distance-based methods, where a feature on a larger numeric scale otherwise dominates. Tree models are invariant to monotonic transformations, so it makes no difference to them.
Reading an answer is not being able to give one. The section that teaches this is Shaping inputs so the model can use them, 6 hours of Feature engineering.
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