To apply min-max normalization in Python, you can use the sklearn.preprocessing.MinMaxScaler class. Add your perspective. Help others by sharing more (125 characters min.) Cancel ...

For example, min-max normalization can be done using the pandas.DataFrame.minmax_scale() function, which takes a dataframe as input and returns a normalized dataframe with values between 0 and 1.

Z-score normalization is robust to outliers compared to min-max normalization since it is based on the mean and standard deviation rather than the range of the data. However, it may not be suitable ...

Due to its NP-Hardness, many heuristics have been developed recently. In this paper, we also present a task scheduling algorithm which is based on the popular Min-Max normalization technique in data ...