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I applied via campus placement at Maulana Azad National Institute of Technology (NIT), Bhopal and was interviewed before Jun 2021. There were 3 interview rounds.
There are 20 Aptitude Question (time to solve these 20 question is 30 minutes). Then 10 MCQ Questions on Computer Science Fundamentals (time 10 minutes).
There are 5 question based on DSA 3 question of 20 marks and 2 questions of 50 marks. You need to any two question of 20 marks questions and one of 50 marks question. Total time you get to solve these question is 60 minutes.
Get second highest element from an array of strings with O(N) time complexity and O(1) space complexity.
Initialize two variables to store the highest and second highest elements.
Traverse the array and update the variables accordingly.
Return the second highest element.
Handle edge cases like empty array or array with only one element.
Sort nearly sorted array using min heap
Create a min heap of size k+1
Insert first k+1 elements into min heap
For remaining elements, extract min and insert new element
Extract all remaining elements from min heap
Time complexity: O(nlogk)
Example: ['apple', 'banana', 'cherry', 'date', 'elderberry']
Coffiecent of x^7 in a given equation
Use the binomial theorem to expand the equation
Identify the term with x^7
The coefficient of x^7 is the coefficient of that term
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 Campus Placement and was interviewed in Sep 2021. There were 2 interview rounds.
2 coding questions and around 20 aptitude questions
I applied via Naukri.com and was interviewed in Feb 2022. There were 3 interview rounds.
Tiger Analytics interview questions for popular designations
I applied via Referral and was interviewed in Nov 2021. There were 4 interview rounds.
Get interview-ready with Top Tiger Analytics Interview Questions
I applied via Approached by Company and was interviewed before Sep 2022. There were 3 interview rounds.
Ridge and Lasso regression are both regularization techniques used in linear regression to prevent overfitting.
Ridge regression adds a penalty equivalent to the square of the magnitude of coefficients, while Lasso regression adds a penalty equivalent to the absolute value of the magnitude of coefficients.
Ridge regression shrinks the coefficients towards zero but never exactly to zero, while Lasso regression can shrink ...
Boosting focuses on improving the performance of weak learners sequentially, while bagging uses parallel ensemble learning with bootstrapping.
Boosting combines multiple weak learners to create a strong learner by giving more weight to misclassified instances in each iteration.
Bagging creates multiple subsets of the training data through bootstrapping and trains each subset independently to reduce variance.
Examples: Ada...
I applied via Naukri.com and was interviewed in Nov 2021. There were 4 interview rounds.
Coding Test on SQL. 4 questions are given and have to code it. Difficulty level easy-medium
Case study was given with 3 days of time. We have to perform EDA and use visualization tools like Tableau/Power BI
I applied via LinkedIn and was interviewed in Aug 2021. There were 3 interview rounds.
I had to go with 3 live coding problems in which they included concepts on recursion and dynamic programming.
I applied via Approached by Company and was interviewed before Aug 2022. There were 3 interview rounds.
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