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Session 2 ML
Session 2 ML
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Questions
15
Answers
1
Csv is short for?
Comma Structured variables
Comma Seperated Variables
Candy
2
Which axis represent the first argument in plt.plot(arg1, arg2)
X-Axis
Z-Axis
Y-Axis
3
Is Data Science Fun?
False
True
4
Can you use mathematical operations on numpy arrays?
True
False
5
What's the output shape for arr3 in the following code
(20, 6)
(10, 6)
(20, 3)
6
What's the output of the following code
array([2, ,3, 4])
array([2, 3, 4, 5, 6, 7]
array([2, 3, 4, 2, 3, 4])
7
What argument do you add to a DataFrame method so it saves the changes in the same DF
inplace = True
stay = True
concatenate = True
save = True
8
Generate a random digit from 1 to 12(included) using Numpy
np.randint(1, 12)
np.random.randint(1, 12)
np.random.randint(1, 11)
9
What's the type of one row in a Data Frame using pandas
Serie
Mini DataFrame
Object
Array
10
how to extract lines on a certain condition in our DF?
df[feature == value]
df[df.feature == value]
df(df[feature] == value)
11
What's Numpy?
Python Library
Personal Name
Function
idk
12
In Matrice Multiplication, What's the output shape given arr1.shape = (m,k) arr2.shape = (k, n)
(m, n)
(n, m)
(m, m)
m&m's
13
Is this commonly used
True
False
14
How to read a csv file in Pandas
pd.read_csv('file')
pd.from_csv('file.csv')
pd.read_csv('file.csv')
15
How to check the sum for NaN values in a DataFrame
df.isna().sum()
df.isna().all()
df.sum()
df.isna().any()