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I applied via Campus Placement and was interviewed in Apr 2024. There was 1 interview round.
I applied via Naukri.com and was interviewed in Mar 2024. There were 2 interview rounds.
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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 Company Website and was interviewed in Mar 2024. There was 1 interview round.
1 hour test maths reasoning and english
I applied via Naukri.com and was interviewed in Jul 2021. There were 4 interview rounds.
I applied via Walk-in and was interviewed in Mar 2022. There were 2 interview rounds.
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