Question 1
It calculates the total quantity for each category.
It calculates the average quantity for each category.
It groups the data by the ’Category’ column.
It filters out rows where the ’Quantity’ column is zero.
It calculates the total quantity for each category.
It calculates the average quantity for each category.
It groups the data by the ’Category’ column.
It filters out rows where the ’Quantity’ column is zero.
Consider the Ridge regression model in scikit-learn, represented by the Ridge class.
Which of the following statements about Ridge regression is correct?
Ridge regression is specifically designed for handling non-linear relationships in the data.
The regularization term in Ridge regression is added to the sum of squared residuals.
Increasing the value of the regularization parameter (alpha) in Ridge regression tends to overfit the model.
Ridge regression is equivalent to ElasticNet regression when the regularization parameter (alpha) is set to one.
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The IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 24 Dec 2023, in the September 2023 term, set ADD3: 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 24 Dec 2023 Set ADD3 at a glance |
|---|---|
| Term | September 2023 term |
| Subject | Machine Learning Practice |
| Course code | BSCS2008 |
| Questions | 37 |
| Marks | 100 |
| Duration | 180 min |
| MCQ | 17 |
| MSQ | 13 |
| Numerical | 7 |
| Official paper | IIT M DIPLOMA AN EXAM ADD3 24 Dec 2023 |
| Negative marking | No negative marking. |
| Updated |