Nlb Services Associate Recruiter Interview Questions and Answers

All Logical questions plus coding

Q1. Whats your Relevant exp
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Q2. Whats your Job role with previous
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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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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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Q1. Tell Me about yourself
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Q2. Why you are interested for this Job
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Q3. What do you like the most about this Position
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Q4. How soon you can Join
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Q5. Will You be Comfortable for Night Shifts..?
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Q1. IT Recruitment, recruitment life cycle
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Q2. Visas, Boolean Strings,
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