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I applied via Referral and was interviewed in Sep 2023. There was 1 interview round.
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2 hours, 12th level math questions
1 hour, sql and python
I applied via Campus Placement and was interviewed before Apr 2023. There were 2 interview rounds.
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models.
Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.
Boosting involves training multiple models sequentially, where each subsequent model corrects the errors made by the previ...
How to judge if the comment is actually describing a product
I applied via Approached by Company and was interviewed before Sep 2021. There were 3 interview rounds.
Explain dynamic programming with memoization
Business Related case study, signed NDA
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