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Feature Scaling -Part 2 | Machine Learning | MATLAB

Part 1:

Feature Scaling is a technique to standardize the independent features present in the data in a fixed range. It is performed during the data pre-processing to handle highly varying magnitudes or values or units. If feature scaling is not done, then a machine learning algorithm tends to weigh greater values, higher and consider smaller values as the lower values, regardless of the unit of the values.

Calculate standard deviation without built-in function: Standard Deviation in MATLAB without using std
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