In [1]:
import pandas as pd
import numpy as np
from sklearn.datasets import load_iris
iris = load_iris()
data = pd.DataFrame(data= np.c_[iris['data'], iris['target']],
columns= iris['feature_names'] + ['target'])
In [7]:
head(data)
In [9]:
data.head()
Out[9]:
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