Dataset: Employee Details
| Name | Age | Department | Salary | Joining_Year | Performance_Score |
|---|---|---|---|---|---|
| Alice | 25 | HR | 50000 | 2018 | 85 |
| Bob | 30 | Finance | 60000 | 2015 | 90 |
| Charlie | 35 | IT | 55000 | 2019 | 88 |
| Diana | 28 | HR | 52000 | 2020 | 75 |
| Eve | 22 | Finance | 48000 | 2021 | 80 |
| Frank | 40 | IT | 65000 | 2010 | 92 |
Based on the above data, answer the given subquestions.
Which of the following commands will return the average age of employees?
Dataset: Employee Details
| Name | Age | Department | Salary | Joining_Year | Performance_Score |
|---|---|---|---|---|---|
| Alice | 25 | HR | 50000 | 2018 | 85 |
| Bob | 30 | Finance | 60000 | 2015 | 90 |
| Charlie | 35 | IT | 55000 | 2019 | 88 |
| Diana | 28 | HR | 52000 | 2020 | 75 |
| Eve | 22 | Finance | 48000 | 2021 | 80 |
| Frank | 40 | IT | 65000 | 2010 | 92 |
Based on the above data, answer the given subquestions.
Which of the following commands will return the number of employees in the 'HR ’ department?
Dataset: Employee Details
| Name | Age | Department | Salary | Joining_Year | Performance_Score |
|---|---|---|---|---|---|
| Alice | 25 | HR | 50000 | 2018 | 85 |
| Bob | 30 | Finance | 60000 | 2015 | 90 |
| Charlie | 35 | IT | 55000 | 2019 | 88 |
| Diana | 28 | HR | 52000 | 2020 | 75 |
| Eve | 22 | Finance | 48000 | 2021 | 80 |
| Frank | 40 | IT | 65000 | 2010 | 92 |
Based on the above data, answer the given subquestions.
Which of the following methods can be used to filter employees with a salary greater than 50,000?
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The IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 22 Dec 2024, in the September 2024 term, set QDD1: 37 questions for 100 marks in 180 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | MLP End Term 22 Dec 2024 Set QDD1 at a glance |
|---|---|
| Term | September 2024 term |
| Subject | Machine Learning Practice |
| Course code | BSCS2008 |
| Questions | 37 |
| Marks | 100 |
| Duration | 180 min |
| MCQ | 21 |
| MSQ | 12 |
| Numerical | 4 |
| Official paper | IIT M IMPROVEMENT FN EXAM QDD1 22 Dec 2024 |
| Negative marking | No negative marking. |
| Updated |
