Question

2. To scale data, what is needed?

​

Answer 1

Answer:

i) Fit the scaler using available training data. For normalization, this means the training data will be used to estimate the minimum and maximum observable values. ...

ii) Apply the scale to training data. ...

iii) Apply the scale to data going forward.

Answer 2

Answer:

feature scaling is essential for machine learning algorithms that calculate distances between data.