Difference between Standard scaler and MinMaxScaler
Many machine learning algorithms perform better when numerical input variables are scaled to a standard range.
Scaling the data means it helps to  Normalize the data within a particular range.
When MinMaxScaler is used the it is also known as Normalization and it transform all the values in range between (0 to 1)
formula is x = [(value - min)/(Max- Min)]
StandardScaler comes under Standardization and its value ranges between (-3 to +3)
formula is z = [(x - x.mean)/Std_deviation]
What is the difference between MinMaxScaler and standard scaler.
MMS= MinMaxScaler(feature_range = (0, 1)) ( Used in Program1)
sc = StandardScaler() ( In another program they used Standard scaler and not minMaxScaler)