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Worksheets

GfG Workshop

Total questions: 20

Worksheet time: 11mins

Name
Class
Date
1.

Which Python library is used for machine learning?

a)
Scikit-learn
b)
TensorFlow
c)
Pandas
d)
NumPy
2.

🐍 + 📦 + ⚙️ = ?

(a)  

3.

ChatGPT’s favorite drink?

a)

Data-shake

b)

Code-coffee

c)

Token-tea

d)

Deep learning and transformer architecturesGPU-juice

4.

Why developers love Python?

a)

Less code

b)

Clean syntax

c)

Snakes not included

d)

All of the Above

5.

If overfitting was a student, who would it be?

a)

One who memorizes everything

b)

One who forgets everything

c)

One who copies everything

d)

One who sleeps in class

6.

If ML had an emotion, what would it be?

a)

Confused

b)

Hungry

c)

Angry

d)

Overthinking

7.

🕵️‍♂️ + 📊 + 🧮 = ?

(a)  

8.

What is the best way to improve ML performance?

a)

Give chocolate

b)

Motivation speech

c)

More data + better training

d)

Take it to temple

9.

Why does ML use test data?

a)

To remind model of exams

b)

So model doesn’t feel bored

c)

To check model’s talent

d)

To stress the CPU

10.

What happens if the model is underfitting?

a)

Model is sleepy

b)

Model didn’t study

c)

Model is lazy

d)

All of the above

11.

What is a prediction?

a)

Astrology

b)

Guessing based on learning

c)

WhatsApp forward

d)

A wild guess

12.

If ML had a relationship status, what would it be?

a)

Complicated

b)

Single

c)

Depends on training

d)

Error 404

13.

What is a dataset?

a)

A set of plates in the mess

b)

A set where you sit daily

c)

A new cricket team

d)

A collection of data

14.

What is a "feature" in ML?

a)

Your hairstyle

b)

A special talent

c)

A useful detail

d)

The hero of a movie

15.

What does a neural network have that humans don’t?

a)

Brain

b)

Emotions

c)

Hidden layers

d)

A crush

16.

If a machine learns too much, what happens?

a)

It becomes a topper

b)

It asks for a salary

c)

It runs away to NASA

d)

It starts judging humans

17.

If a machine starts learning too fast, what should you do?

a)

Uninstall its brain

b)

Reduce its marks

c)

Tell it “chill bro”

d)

Give it 2 minutes Maggi

18.

Your ML model predicts your crush will text you. What happens next?

a)

Model crashes

b)

Crush blocks you

c)

Python gives error

d)

Accuracy becomes 0%

19.

Why does a model need optimization?

a)

Because it is lazy

b)

Because it’s inconsistent like you

c)

Because it doesn’t want to work

d)

Because it wants to be a topper

20.

What happens if your dataset is too big?

a)

Your laptop takes off like a rocket

b)

Python screams “NOOOO!”

c)

Charger becomes nuclear reactor

d)

Laptop fan starts singing