Correlation analysis between [machine learning] variables

df1 = pd.DataFrame(np.random.randn(40, 9))
df2 = df1.iloc[:, :-1] + df1.iloc[:, 1: ].values * 0.6
df2 += 0.2 * np.random.randn(*df2.shape)

x = [[10001,2],[16020,4],[12008,6],[13131,8]]
np.array(x)
min_max_scaler = MinMaxScaler()
X_train_minmax = min_max_scaler.fit_transform(data.values[:, 0:11])# Normalized results 
X_train_minmax

reference

[1] Detailed feature normalization
[2] Feature correlation analysis in machine learning
[3]【 machine learning 】 Basis of correlation analysis and regression analysis
[4] Simple correlation analysis method in machine learning