Prodapt Associate Interview Questions and Answers

Q1. Why did we hired you
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Q2. What is next 5 years see your self
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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. Exceptions and thread implementation
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Q2. Basics of restful web services
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General questions asked

Q1. Basic tech questions
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Q2. Some codenasked
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Q1. General info asked
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Q1. Regarding project done in college
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Q2. Basic java coding questions
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Q3. SQL topics and queries
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Q1. How will you manage work pressure
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Q2. Strength and weakness
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There were 2 coding questions asked. If one question is solved you are qualified.

Q1. There are 3 technical interviews. First tech interview is simple. Then the difficulty arise in further rounds.
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Q1. They ask to solve the coding question with different logic.
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Q1. Tell me about yourself
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