Data Science, Artificial Intelligence, K Means, Audience Engagement, Python.
feature has μ = 0 and σ = 1. # Define which columns contain our features feature_cols = df.columns.to_list() # Discretize each column into quantiles for column in feature_cols: df[column] = pd.qcut(df[column].sort_values().rank(method='first'), q=5, duplicates='raise', labels=False) # Convert to a