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| import numpy as np | |
| import pandas as pd | |
| # load the boston data set | |
| from sklearn.datasets import load_boston | |
| boston = load_boston() | |
| # convert to a Pandas Data Frame | |
| boston_pd = pd.DataFrame(data= np.c_[boston['data'],boston['target']], | |
| columns= np.append(boston['feature_names'], 'target')).sample(frac=1) | |
| print(boston_pd.shape) | |
| boston_pd.head(5) |
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