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I applied via Naukri.com and was interviewed before Jun 2020. There was 1 interview round.
Top trending discussions
I was interviewed in Jan 2025.
I was interviewed before Feb 2024.
Basic speaking test, english
posted on 25 Oct 2024
I applied via Walk-in and was interviewed in Sep 2024. There were 4 interview rounds.
Which is related to subject questions from pharma
I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.
Prime numbers,reverse a string
I applied via Campus Placement and was interviewed in Nov 2023. There were 3 interview rounds.
It was the easy round to clear they ask basic quans which include DBMS and grammar over all the round was easy
Some mcq questions and coding question. Both where easy to medium level. Prepare combination/permutation/Time complexity etc
A question related to Binary search and some other follow ups.
I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree is built using a subset of the training data and a random subset of features.
The final prediction is made by averaging the predictions of all the individual trees.
Random...
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.
Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.
Boosting is used to improve the accuracy of models and reduce bias and variance.
I applied via Referral and was interviewed before Aug 2022. There were 4 interview rounds.
There is online aptitude test as they followed
It is also a online assessment with some technical questions
based on 12 reviews
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