DATA NORMALIZATION - METHODS / APPROACHES IN PYTHON

There are three types of data normalization methods/  approaches. They are

1. Simple Feature Scaling method
2. Min-Max method
3. Z-Score method

These three methods can be explained through the below example table

1. Simple Feature Scaling method in Python
Formula:    
                                       (X old)
               X new  =     -----------
                                       (X max)
Example
                                     df["length"]
df["length"] =       ----------------------------
                                   df["length"].max()
OLD Values                                                             NEW Values
Length        Width        Height                             Length        Width        Height 
---------------------------------------                       ---------------------------------------
168.8           64.1          48.8                                   0.81            64.1          48.8
168.8           64.1          48.8                                   0.81            64.1          48.8
  18.8           65.5          52.4                                   0.87            65.5          52.4


2. Min-Max method in Python
Formula: 
                                   (X old) - (X min)
               X new  =   --------------------------
                                  (X max) - (X min)
Example
                                  df["length"] -df["length"].min()
df["length"] =       ------------------------------------------------
                              df["length"].max() - df["length"].min()

OLD Values                                                 NEW Values
Length        Width        Height                      Length        Width        Height 
---------------------------------------       --         ---------------------------------------
168.8           64.1          48.8               --          0.41            64.1          48.8
168.8           64.1          48.8               --          0.41            64.1          48.8
  18.8           65.5          52.4               --          0.58            65.5          52.4

3. Z - Score method in Python
Formula:            
                   (X old) - meu
X new  = -------------------------
                         sigma
Note:
Meu - Average of the feature
sigma - Standard deviation
Example 
                               df["length"] - df["length"].mean()
df["length"] =    -----------------------------------------------
                                      df["length"].std()
OLD Values                                                 NEW Values

Length        Width        Height                      Length        Width        Height 
---------------------------------------       --         ---------------------------------------
168.8           64.1          48.8               --          0.41            64.1          48.8
168.8           64.1          48.8               --          0.41            64.1          48.8
  18.8           65.5          52.4               --          0.58            65.5          52.4