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I applied via Company Website and was interviewed before Feb 2023. There were 2 interview rounds.
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I applied via Campus Placement and was interviewed before Jul 2021. There were 3 interview rounds.
The aptitude test contains questions MCQs for quants, basic statistics and basic coding questions. The aptitude also has 2 coding problems to solve which would be of easy-medium level.
The second round was live coding test, where the interviewer looks for your approach towards solving a given problem. The approach matters more than the correct syntax. All coding languages were allowed. SQL queries can also be asked.
I applied via Approached by Company and was interviewed before Aug 2021. There were 3 interview rounds.
1st Round consisted of Technical Discussion and Coding Round. I was asked to write down the logic for Prime no., Fibonacci Series, Matrix related question, etc.
I was asked to share my screen and write down logic for questions related to Strings, Arrays and 2-D matrix's.
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
Aptitude ques based on straight line, circle,pnc, probability
Coding ques level was medium to tough. Had to solve 3 ques out of 5
Rotate a 2D array by 90 degrees clockwise or counterclockwise.
Transpose the matrix by swapping elements across the diagonal
Reverse each row or column depending on clockwise or counterclockwise rotation
Example: [[1,2],[3,4]] rotated clockwise becomes [[3,1],[4,2]]
I applied via Company Website and was interviewed in May 2024. There was 1 interview round.
Nice cv related questions is their
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 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 Oct 2022. There were 3 interview rounds.
One simple coding test and general aptitute
I applied via Naukri.com and was interviewed before Jun 2022. There were 3 interview rounds.
Prime number in javascript
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