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Daily AI Problems

Find plethora of data science questions for concept understanding as well as interviews

Each interview itself consumes at least 2 hours. Add 1 hour each before and after the interview which sums up to 4 hours if it is an online interview. 

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Solution?

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Practice one question each day & be prepared, appear without revision and ace all the interviews.

Filters

Day 1

Day 1

Consider that your dataset is biased. You want to compare the model performance. However, you are not concerned with the performance with the majority class. Your task is the correct detection of positive class. Which predictive curve will you use?

Machine Learning

4

Difficulty Rating

Day 2

Day 2

After training your model, the following are the training statistics. Training Error : 6% Validation Error : 9% Which of the following is a correct statement?

Machine Learning

5

Difficulty Rating

Day 3

Day 3

The picture below is the confusion matrix of a model after prediction. Find out the precision value for class A.

Machine Learning

3

Difficulty Rating

Day 4

Day 4

Absence of symmetry in the data leads to skewness. Can be present in a single column or multiple columns. Which of the following would be the best selection to deal with skewed data?

Statistics

2

Difficulty Rating

Day 5

Day 5

Which of the following regression metrics has the same unit as that of the target variable?

Machine Learning

1

Difficulty Rating

Day 6

Day 6

You just trained your scikit-learn model of SVC algorithm. You want to train further by calling the fit() again on the model without changing any parameters. Which of the following is likely to happen?

Machine Learning

4

Difficulty Rating

Day 7

Day 7

You are dealing with a regression problem where the dataset has some outliers present in it. Which of the following would be the best metric to use?

Machine Learning

4

Difficulty Rating

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