Nana_off

```python import numpy as np from sklearn.datasets import make_classification, make_blobs import matplotlib.pyplot as plt # Generate random data for classification X, y = make_classification(n_samples=100, n_features=2, n_informative=2, n_redundant=0, flip_y=0) # Plot the data using scatter plot plt.scatter(X[:, 0], X[:, 1]) plt.title('Random Classification Data') plt.xlabel('Feature 1') plt.ylabel('Feature 2') plt.show() ```