Question

What is the purpose for the below code snippet? import pandas as pd import numpy as np from matplotlib import pyplot as plt import seaborn as sns iris = sns.load_dataset('iris') X_iris = iris.drop('species', axis=1) y_iris = iris['species'] Select samples from the iris data set for modeling Create a seaborn cluster plot Build a model of the features in the iris dataset None/Error Separate the iris data set into features and a target

          What is the purpose for the below code snippet?
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
iris = sns.load_dataset('iris')
X_iris = iris.drop('species', axis=1)
y_iris = iris['species']
Select samples from the iris data set for modeling
Create a seaborn cluster plot
Build a model of the features in the iris dataset
None/Error
Separate the iris data set into features and a target

What is the purpose for the below code snippet?
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import seaborn as sns
iris = sns.loaddataset('iris')
Xiris = iris.drop('species', axis=1)
yiris = iris['species']
Select samples from the iris data set for modeling
Create a seaborn cluster plot
Build a model of the features in the iris dataset
None/Error
Separate the iris data set into features and a target

Added by Susana O.

Computer Science and Information Technology

Trishna Knowledge Systems 2018 Edition

Instant Answer

Solved by Expert Akash M

11/01/2023

Step 1

Step 1: Import the necessary libraries Show more…

Show all steps

Thanks for your feedback!

The purpose of the below code snippet is to select samples from the iris data set for modeling, create a seaborn cluster plot, build a model of the features in the iris dataset, and separate the iris data set into features and a target. The code snippet imports pandas, numpy, pyplot from matplotlib, and seaborn libraries, loads the iris dataset, drops the 'species' column to create the X_iris dataset, and assigns the 'species' column to the y_iris dataset.