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1) First 15 mins. : Self Intro, Talk about one project that you are proud to work on, learnt alot, etc. 2) Last 15 mins : Imagine a df with a col A which has series of 1 to 10, want to extract the even numbers of series. - write the syntax in the chat section. There are two tables with two columns each. Table A has a categorical column with multiple duplicate values corresponding to which a number is associated in other column while in Table B same columns are there, just that now categorical columns have unique values with added values to each corresponding unique categorical column. Derive Table B from A using pandas. Order of execution in SQL What is a bias-variance tradeoff? What is an imbalanced dataset? What is the thumbrule ratio to say the data is imbalanced? Imagine you are training a data model on an imbalance set, how will evaluate on the data validation. What is F1-score and why F1 over precision/recall? What are ensemble technique?
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Data Scientist (International Operations)

Interviewed at Great Learning

4.3★
Mar 12, 2024

1) First 15 mins. : Self Intro, Talk about one project that you are proud to work on, learnt alot, etc. 2) Last 15 mins : Imagine a df with a col A which has series of 1 to 10, want to extract the even numbers of series. - write the syntax in the chat section. There are two tables with two columns each. Table A has a categorical column with multiple duplicate values corresponding to which a number is associated in other column while in Table B same columns are there, just that now categorical columns have unique values with added values to each corresponding unique categorical column. Derive Table B from A using pandas. Order of execution in SQL What is a bias-variance tradeoff? What is an imbalanced dataset? What is the thumbrule ratio to say the data is imbalanced? Imagine you are training a data model on an imbalance set, how will evaluate on the data validation. What is F1-score and why F1 over precision/recall? What are ensemble technique?

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