
Workshop_2
Authored by Tanuj Tanuj
Computers
University
Used 2+ times

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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 10 pts
Activations functions we used today?
SIGMOID,RELU
SOFTMAX,RELU
TANH
SELU
2.
MULTIPLE CHOICE QUESTION
30 sec • 10 pts
Pandas function to see the above 5 enteries?
df.tail()
df.'col_name'
df.head()
df.corr()
Answer explanation
df.head() is used for above five and df.tail() is used for below five.
3.
FILL IN THE BLANK QUESTION
1 min • 10 pts
Seaborn Function for complete analysis of datasets as graphs
Answer explanation
sns.pairplot(data=df)
4.
MULTIPLE CHOICE QUESTION
30 sec • 10 pts
which Seaborn function can plot correlation as matrix?
Answer explanation
sns.heatmap() is the correct answer
and sns.comatrix is not any function.
5.
MULTIPLE CHOICE QUESTION
30 sec • 10 pts
function to start a making a model?
Sequential()
Dense()
Adam()
Sigmoid
Answer explanation
Sequential class is called to start making a model
6.
FILL IN THE BLANK QUESTION
1 min • 10 pts
Command to get sum of all the null values................(Syntax only).
7.
FILL IN THE BLANK QUESTION
1 min • 10 pts
Technique we used to balance over dataset?
Answer explanation
Oversampling we used to balance the dataset
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