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I applied via Referral and was interviewed before Sep 2021. There were 5 interview rounds.
Aptitude, quant and verbal test, negitive marking 12min around 30 question.
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I applied via Referral and was interviewed in Jul 2020. There were 3 interview rounds.
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 Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
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I appeared for an interview before Mar 2024, where I was asked the following questions.
I switched jobs to pursue new challenges and opportunities for growth.
Seeking new challenges and opportunities for personal and professional growth
Desire for a change in work environment or company culture
Interest in exploring different industries or roles
Wanted to learn new skills or gain more experience
Looking for better work-life balance or compensation
Example: I wanted to switch to a company that values innovation ...
I am comfortable with shift timings and can adapt to different schedules.
I have experience working various shifts in previous roles
I am flexible and can adjust my schedule as needed
I understand the importance of being reliable and punctual in a shift-based job
I applied via Walk-in and was interviewed in Feb 2023. There were 2 interview rounds.
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