Quantiphi Analytics Solutions Private Limited ml engineer Interview Questions and Answers

Q1. What is decision tree
Ans. 
A decision tree is a flowchart-like structure where each internal node represents a feature, each branch represents a decision, and each leaf node represents an outcome.
• Decision trees are a popular machine learning algorithm used for classification and regression tasks.

• They are easy to interpret and visualize, making them useful for understanding the decision-making process.

• Decision trees work by recursively splitting ...read more
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Q2. What is boosting
Ans. 
Boosting is a machine learning ensemble technique that combines multiple weak learners to create a strong learner.
• Boosting iteratively improves the performance of a model by focusing on the mistakes made by previous models.

• Popular boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.

• Boosting is often used in classification and regression problems to improve accuracy and reduce bias.
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Q1. Project Related que were asked
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Q1. Python question were aked python
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Q1. Easy round about over self only
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Q1. Tell me about yourself
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Q2. ML algorithm based questions
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Q1. Question of Project done
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HTML CSS JavaScript and Java and see all the basic concept of all these language

Q1. First of all he go through your resume and after that whatever language do you mention in the resume he will be asked that language only and all the basic stuff on that language
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Q1. After technical round one basic HR round in that HR round he will ask basic question what is your strength what is your weakness like that question
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