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I applied via LinkedIn and was interviewed in Nov 2024. There was 1 interview round.
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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
Business Related case study, signed NDA
I applied via Campus Placement and was interviewed before Apr 2023. There were 2 interview rounds.
I applied via Approached by Company and was interviewed before Sep 2021. There were 3 interview rounds.
Explain dynamic programming with memoization
2 Question and live coding was conducted on self platform
Practise 10 DSA medium and 10 hard questions on each topic.
I applied via Naukri.com and was interviewed in May 2022. There were 3 interview rounds.
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