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I applied via Walk-in and was interviewed in Feb 2023. There were 2 interview rounds.
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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
I applied via Campus Placement and was interviewed in Sep 2023. There were 2 interview rounds.
Very easy DSA , probability,puzzles and aptitude
My weakness is overthinking and my strength is attention to detail.
Weakness: tend to overthink situations, which can lead to indecision or anxiety
Strength: strong attention to detail, ensuring accuracy and thoroughness in work
Example: Weakness - I sometimes spend too much time analyzing a problem before taking action. Strength - I am meticulous in my work, catching even the smallest errors.
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 Referral and was interviewed before Feb 2023. There were 2 interview rounds.
Python programming 2 questions, 7 MCQs on data science, ml, statistics
I applied via Naukri.com and was interviewed before Jun 2022. There were 3 interview rounds.
Prime number in javascript
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
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...
I applied via Naukri.com and was interviewed before Oct 2022. There were 3 interview rounds.
One simple coding test and general aptitute
based on 1 interview
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based on 43 reviews
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