Update AutoML_Batch_Learning_Dataset_1.ipynb

Author: LiYangHart

AutoML_Batch_Learning_Dataset_1.ipynb

@@ -581,7 +581,8 @@
  " alpha = 0.05\n",
  " numeric_features = df.drop(['Label'],axis = 1).dtypes[df.dtypes != 'object'].index\n",
  " \n",
- " # check if the data distribution follows a Gaussian/normal distribution\n",
+ " # The selection strategy is based on the article: https://medium.com/@kumarvaishnav17/standardization-vs-normalization-in-machine-learning-3e132a19c8bf\n",
+ " # Check if the data distribution follows a Gaussian/normal distribution\n",
  " # If so, select the Z-score normalization method; otherwise, select the min-max normalization\n",
  " # Details are in the paper\n",
  " if p > alpha:\n",