Hi, You should normalize or scale your features when they have different ranges or units, particularly for algorithms that are sensitive to feature magnitudes, such as k-nearest neighbors, support vector machines, and gradient descent-based methods. I will upload a video on this topic, please turn your notifications on. Thanks
Hi, when do we know if we have to normalize or scale our features before machine learning?
Hi,
You should normalize or scale your features when they have different ranges or units, particularly for algorithms that are sensitive to feature magnitudes, such as k-nearest neighbors, support vector machines, and gradient descent-based methods.
I will upload a video on this topic, please turn your notifications on.
Thanks