# ---
# jupyter:
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#     text_representation:
#       extension: .py
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab.research.google.com/github/Nikhila-padmanabhan/Machine-Learning-Concepts/blob/master/Files.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>

# + id="J4HXHg8Qbo0j" colab_type="code" colab={}
from sklearn.datasets import load_iris

# + id="4Y70pEeIbvgI" colab_type="code" colab={}
Data = load_iris()

# + id="EXKNKtllb067" colab_type="code" colab={}
Data.data

# + id="t8eooLLhb8nO" colab_type="code" colab={"base_uri": "https://localhost:8080/", "height": 136} outputId="4b8950ee-98e7-4b27-e610-a1d729d26cd6"
Data.target

# + id="5zxSzVTTcgWQ" colab_type="code" colab={"base_uri": "https://localhost:8080/", "height": 1000} outputId="3ac0a781-35e5-4e86-d652-134f97ff60bc"
print(Data.DESCR)

# + id="UVX_Q_s4ck6s" colab_type="code" colab={"base_uri": "https://localhost:8080/", "height": 85} outputId="28819960-68bd-41de-fd52-e2a984cf341e"
Data.feature_names

# + id="wdKDa-4NcsMq" colab_type="code" colab={}


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