# [Problem 1] Data acquisition

import numpy as np
import pandas as pd
from sklearn.datasets import load_iris

iris = load_iris()

X = pd.DataFrame(data = iris['data'], columns = iris['feature_names'])
print(X)

Y = pd.DataFrame(data = iris['target'], columns = ['target'])
print(Y)

c1c372befb7c8f9fe9156aae4a9d7e69ce694efb
<mask token>

<mask token>
print(X)
<mask token>
print(Y)

<mask token>
iris = load_iris()
X = pd.DataFrame(data=iris['data'], columns=iris['feature_names'])
print(X)
Y = pd.DataFrame(data=iris['target'], columns=['target'])
print(Y)

import numpy as np
import pandas as pd
from sklearn.datasets import load_iris
iris = load_iris()
X = pd.DataFrame(data=iris['data'], columns=iris['feature_names'])
print(X)
Y = pd.DataFrame(data=iris['target'], columns=['target'])
print(Y)

# [Problem 1] Data acquisition

import numpy as np
import pandas as pd
from sklearn.datasets import load_iris

iris = load_iris()

X = pd.DataFrame(data = iris['data'], columns = iris['feature_names'])
print(X)

Y = pd.DataFrame(data = iris['target'], columns = ['target'])
print(Y)
