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I was interviewed in Jan 2025.
I applied via Referral and was interviewed in Dec 2024. There was 1 interview round.
posted on 18 Jul 2024
Marginal costing is a costing technique where only variable costs are considered in determining the cost of a product or service.
Marginal costing helps in determining the contribution margin of a product, which is the difference between its selling price and variable costs.
Fixed costs are not included in the calculation under marginal costing.
It is useful for decision-making as it helps in analyzing the impact of chang...
I applied via LinkedIn and was interviewed in May 2024. There were 3 interview rounds.
CET level questions, Math, Comprehension
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.
Typing and one to one
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.
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