Compunnel US IT Recruiter Interview Questions and Answers

Q1. Explain random forest
Ans. 
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...read more
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Q2. What is boosting
Ans. 
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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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.

Q1. Tell us about yourself? who is the decision maker in your career?
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Q2. One positive and one negative about yourself.
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Q3. Who is the decision maker in your career
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Q4. Can you tell about recruitment lifecycle
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Basic questions about logical reasoning

Q1. Basic introduction Some puzzles Sport questions
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Q2. Basic communication check
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Q3. How was yourday
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Q4. Favourite sportof
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