The similarity between loaders and fetchers of sklearn is -
Both loaders and fetchers generate controlled synthetic datasets
Both loaders and fetchers return a Bunch object, which is a dictionary with two keys
Both techniques load small standard datasets
None of these options are correct
Which of the following options represent the main purpose of using the FeatureUnion?
Enables different transformations on various columns of data based on their types
Combines output from several transformer objects by creating a new transformer from them
To chain multiple estimators to execute a fixed sequence of steps in data preprocessing and modeling
None of these
What will be the output of the following block of code?
(10, 2)
(2, 10)
(10, 3)
(3, 10)
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The IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 7 Aug 2022, in the May 2022 term: 40 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 7 Aug 2022 at a glance |
|---|---|
| Term | May 2022 term |
| Subject | Machine Learning Practice |
| Course code | BSCS2008 |
| Questions | 40 |
| Marks | 100 |
| Duration | 180 min |
| MCQ | 31 |
| MSQ | 5 |
| Numerical | 4 |
| Official paper | IIT M FOUNDATION DIPLOMA ENDTERM QPB1 07 Aug 2022 IBA NS |
| Negative marking | No negative marking. |
| Updated |
