Consider the following pandas DataFrame representing employee training records:
We want to retrieve all records of employees who belong to departments where the average training score is strictly greater than 75. Which of the following code snippets correctly achieves this?
df[df['Score'] > 75]
df.groupby('Department').filter(lambda x: x['Score'].mean() > 75)
df[df.groupby('Department')['Score'].transform('mean') >= 75]
df.groupby('Department').apply(lambda x: x[x['Score'] > 75])
How many features remain in X_new after the transformation?
0
1
2
3
Determine the output of the following text preprocessing pipeline:
['red','blue','green','yellow']
['blue' 'red','yellow']
['blue' 'red']
['red','blue','green']
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The IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 13 Sept 2026, in the May 2026 term: 30 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 13 Sept 2026 at a glance |
|---|---|
| Term | May 2026 term |
| Subject | Machine Learning Practice |
| Course code | BSCS2008 |
| Questions | 30 |
| Marks | 100 |
| Duration | 180 min |
| MCQ | 13 |
| Numerical | 9 |
| MSQ | 8 |
| Official paper | Machine Learning Practice 13 Sep 26 |
| Negative marking | No negative marking. |
| Updated |
