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I applied via Company Website and was interviewed in May 2024. There was 1 interview round.
Nice cv related questions is their
Top trending discussions
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
Python code to find the root of a number
Use the math module to access the sqrt() function
Use the ** operator to raise the number to the power of 1/n
Handle negative numbers by converting them to complex numbers
posted on 7 Apr 2023
Level was easy to medium you can easily clear it if you have basic knowledge.
Level was medium you should have strong command of your respective language.
I applied via Campus Placement and was interviewed before Nov 2023. There were 2 interview rounds.
Basic Maths, Probability, Coding Questions
Writing codes to basic questions
I applied via Campus Placement and was interviewed before Nov 2022. There were 4 interview rounds.
Probability, coding, coordinate geometry , debugging, predict the output
1 hour test 3 questions , one was on numbers I don't remember much , random people get selected in 3rd round in campus placements
General Aptitude( Probability dominats) and objective coding
Moderate levels coding questions Refer hacker rank
I applied via Campus Placement and was interviewed before May 2023. There were 3 interview rounds.
We had questions on aptitude - like upstream, downstream problems, etc.
Live coding using Python/CPP
Practice coding challenges on platforms like LeetCode or HackerRank to improve coding skills
Understand data structures and algorithms to solve coding problems efficiently
Use online IDEs like Repl.it or CodePen for live coding sessions
I applied via Naukri.com and was interviewed before Oct 2022. There were 3 interview rounds.
One simple coding test and general aptitute
I applied via Referral and was interviewed in Jul 2021. There were 4 interview rounds.
C is the regularization parameter while gamma controls the shape of the decision boundary in SVM.
C controls the trade-off between achieving a low training error and a low testing error.
A smaller C value creates a wider margin and allows more misclassifications.
Gamma controls the shape of the decision boundary and the influence of each training example.
A smaller gamma value creates a smoother decision boundary while a l...
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