>>> import pandas as pd >>> df = pd.read_csv('titanic.csv') >>> print(df) | | sex | age | sibsp | parch | fare | class | embark_town | alive | alone | |---|---|---|---|---|---|---|---|---|---| | 0 | male | 22.0 | 1 | 0 | 7.2500 | Third | Southampton | no | False | | 1 | female | 38.0 | 1 | 0 | 71.2833 | First | Cherbourg | yes | False | | 2 | female | 26.0 | 0 | 0 | 7.9250 | Third | Southampton | yes | True | | 3 | female | 35.0 | 1 | 0 | 53.1000 | First | Southampton | yes | False | | 4 | male | 35.0 | 0 | 0 | 8.0500 | Third | Southampton | no | True | | 5 | male | NaN | 0 | 0 | 8.4583 | Third | Queenstown | no | True | | 6 | male | 54.0 | 0 | 0 | 51.8625 | First | Southampton | no | True | | 7 | male | 2.0 | 3 | 1 | 21.0750 | Third | Southampton | no | False | | 8 | female | 27.0 | 0 | 2 | 11.1333 | Third | Southampton | yes | False | | 9 | female | 14.0 | 1 | 0 | 30.0708 | Second | Cherbourg | yes | False | | 10 | female | 4.0 | 1 | 1 | 16.7000 | Third | Southampton | yes | False | | 11 | female | 58.0 | 0 | 0 | 26.5500 | First | Southampton | yes | True | | 12 | male | 20.0 | 0 | 0 | 8.0500 | Third | Southampton | no | True | | 13 | male | 39.0 | 1 | 5 | 31.2750 | Third | Southampton | no | False | | 14 | female | 14.0 | 0 | 0 | 7.8542 | Third | Southampton | no | True | | 15 | female | 55.0 | 0 | 0 | 16.0000 | Second | Southampton | yes | True | Based on the above data, answer the given subquestions. Which option will help in filtering data to find females who are alive…

(A) Option figure from the original question paper

(B) Option figure from the original question paper

(C) Option figure from the original question paper

(D) Option figure from the original question paper

Machine Learning Practice · Quiz 1 · 25 Feb 2024 · January 2024 term

Question 4: | | sex | age | sibsp | parch | fare | class | embark_tow…

Question 4

+2 marksOne correct option

python

1>>> import pandas as pd
2>>> df = pd.read_csv('titanic.csv')
3>>> print(df)

	sex	age	sibsp	parch	fare	class	embark_town	alive	alone
0	male	22.0	1	0	7.2500	Third	Southampton	no	False
1	female	38.0	1	0	71.2833	First	Cherbourg	yes	False
2	female	26.0	0	0	7.9250	Third	Southampton	yes	True
3	female	35.0	1	0	53.1000	First	Southampton	yes	False
4	male	35.0	0	0	8.0500	Third	Southampton	no	True
5	male	NaN	0	0	8.4583	Third	Queenstown	no	True
6	male	54.0	0	0	51.8625	First	Southampton	no	True
7	male	2.0	3	1	21.0750	Third	Southampton	no	False
8	female	27.0	0	2	11.1333	Third	Southampton	yes	False
9	female	14.0	1	0	30.0708	Second	Cherbourg	yes	False
10	female	4.0	1	1	16.7000	Third	Southampton	yes	False
11	female	58.0	0	0	26.5500	First	Southampton	yes	True
12	male	20.0	0	0	8.0500	Third	Southampton	no	True
13	male	39.0	1	5	31.2750	Third	Southampton	no	False
14	female	14.0	0	0	7.8542	Third	Southampton	no	True
15	female	55.0	0	0	16.0000	Second	Southampton	yes	True

Based on the above data, answer the given subquestions.

Which option will help in filtering data to find females who are alive after titanic incident?

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Question 4 of 24 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 1 paper sat on 25 Feb 2024, in the January 2024 term (IIT M DIPLOMA AN2 EXAM QDD2 25 Feb 2024). It carries 2 marks.

Question 4: | | sex | age | sibsp | parch | fare | class | embark_tow…

Question 4

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