Quantiphi Analytics Solutions Private Limited Interview Questions, Process, and Tips

Q1. Projects and core experience
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Q2. Healthcare basics
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Topic was Black vs White

Q1. Question were wasy
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Q1. How can you addd value to the team
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Q2. What made a better and outperforming recruiter
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Basic CS fundamentals and medium coding questions pretty standard.

Q1. 2-pointer traversal
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Q1. About knowledge in cloud and backend.
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Big data, aptitude, html, css, javascript, c language questions

Hackerrank coding test

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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