Cognizant Data Scientist Interview Questions and Answers

Question related to maths basic and some basic blood relations questions

Q1. All the questions we asked based on the Resume
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Q2. Basic question of program like pattern matching prime number
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Q1. Questions related to machine learning
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Q1. Question related to machine learning, projects and case study.
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Q1. Salary discussion and position offered.
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First round was mcq which has common statistics and ml questions

Q1. Second was technical round in which they asked basic python and ml questions and some questions from my final yr project
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Q2. Differentiate list and tuple
Ans. 
List is mutable, tuple is immutable in Python.
• List uses square brackets [], tuple uses parentheses ().

• Elements in a list can be changed, elements in a tuple cannot be changed.

• Lists are used for collections of items that may need to be modified, tuples are used for fixed collections of items.

• Example: list_example = [1, 2, 3], tuple_example = (4, 5, 6)
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Q3. Explain regression
Ans. 
Regression is a statistical method used to analyze the relationship between variables.
• Regression helps in predicting the value of a dependent variable based on the values of one or more independent variables.

• It is used to understand the strength and direction of the relationship between variables.

• Common types of regression include linear regression, logistic regression, and polynomial regression.
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Q1. This was just a document verification round with formal hr questions
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SQL -- Questions based to window functions,having clause

Python--simple code to solve certain puzzles

Q1. Only Salary Negotiation
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Q1. If you have genuine deep learning expereince you will be easily crack the interview. Deep learning analytical question was asked.
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Q2. Basic deep learning questions
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