Loading datasets (CSV, built-in datasets) in ML Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to load a CSV file into a pandas DataFrame.

ML Python

import pandas as pd

data = pd.read_csv([1])

Drag options to blanks, or click blank then click option'

Aread_csv('data.csv')

Bdata.csv

C'data.csv'

Dpd.read_csv('data.csv')

Attempts:

3 left

2fill in blank

medium

Complete the code to load the Iris dataset from sklearn.

ML Python

from sklearn import datasets

iris = datasets.[1]()

Drag options to blanks, or click blank then click option'

Aload_iris

Bfetch_iris

Cget_iris

Diris_data

Attempts:

3 left

3fill in blank

hard

Fix the error in the code to load a CSV file with pandas and display the first 5 rows.

ML Python

import pandas as pd

df = pd.read_csv('data.csv')
print(df.[1]())

Drag options to blanks, or click blank then click option'

Ashow

Bfirst

Ctop

Dhead

Attempts:

3 left

4fill in blank

hard

Fill both blanks to load the digits dataset and get its data and target arrays.

ML Python

from sklearn import datasets

digits = datasets.[1]()
data = digits.[2]

Drag options to blanks, or click blank then click option'

Aload_digits

Bfetch_digits

Cdata

Dtarget

Attempts:

3 left

5fill in blank

hard

Fill all three blanks to load the wine dataset, get its features and labels.

ML Python

from sklearn.datasets import [1]

wine = [1]()
features = wine.[2]
labels = wine.[3]

Drag options to blanks, or click blank then click option'

Aload_wine

Bdata

Ctarget

Dfetch_wine

Attempts:

3 left