Filter interviews by
I applied via Recruitment Consulltant and was interviewed in Dec 2023. There was 1 interview round.
The question is about creating and manipulating a list of strings.
Use the list data structure to create and store a collection of strings.
Manipulate the strings using string methods like concatenation, slicing, and replacing.
Access individual strings in the list using indexing.
Iterate over the list using loops to perform operations on each string.
I was interviewed before Oct 2023.
Hackerrank python Questions
I applied via Naukri.com and was interviewed before Mar 2023. There were 3 interview rounds.
Online coding test with 3 questions
I applied via Recruitment Consulltant and was interviewed in Jan 2022. There were 3 interview rounds.
It was a one-hour coding test, based on 3 python codes .where 2 were easy to a moderate level and one was moderate to difficult level. Code based on Data manipulation, String Operations.
The thing that they are testing is your logic not code, your approach to the solution is important.
iElektron Technologies interview questions for designations
I applied via Recruitment Consulltant and was interviewed in Dec 2021. There were 2 interview rounds.
Top trending discussions
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor performance on unseen data as the model fails to generalize well.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
...
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization and high accuracy on training data but low accuracy on new data.
Techniques to prevent overfitting include cross-validation, regularization, and...
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor performance on unseen data as the model fails to generalize well.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
...
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization and high accuracy on training data but low accuracy on new data.
Techniques to prevent overfitting include cross-validation, regularization, and...
1 Interview rounds
based on 10 reviews
Rating in categories
Data Scientist
39
salaries
| ₹4 L/yr - ₹15 L/yr |
Software Engineer
34
salaries
| ₹3 L/yr - ₹10.1 L/yr |
Senior Software Engineer
23
salaries
| ₹8.5 L/yr - ₹16 L/yr |
Senior Engineer
15
salaries
| ₹9 L/yr - ₹16 L/yr |
HR Executive
12
salaries
| ₹2 L/yr - ₹4.2 L/yr |
Bharat Electronics
Honeywell Automation
Siemens
ABB