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I applied via Approached by Company and was interviewed in Nov 2023. There were 4 interview rounds.
They asked to remove duplicates from an array in O(n) time and O(1) space
Top trending discussions
I appeared for an interview before May 2023.
I applied via Instahyre and was interviewed before Nov 2022. There were 5 interview rounds.
Sql Coding round questions were asked
Questions on string arrays
I applied via Referral and was interviewed before Sep 2021. There were 3 interview rounds.
Basic of array questions like sliding window maximum
The question is asking about the candidate's experience with Oops, DBMS, SQL, and technology used in a project.
Explain the candidate's experience with Oops concepts
Ask about their experience with different DBMS systems like MySQL, Oracle, etc.
Inquire about their proficiency in SQL and its various commands
Ask about a project they have worked on and the technology stack used in it
posted on 29 Sep 2024
I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.
CNN is used for image recognition while MLP is used for general classification tasks.
CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.
CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.
CNN has fewer parameters than MLP due to weight sharing in convolutional layers.
CNN can handle input of varying ...
I applied via Company Website and was interviewed before May 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.
Data Scientist interview questions on model building, random forest, ROC curve, gradient boosting, and real estate valuation
For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forest
Random forest hyperparameters include number of trees, maximum depth, minimum samples split, and minimum samples leaf
ROC curve is a graphical representation of...
Data Scientist interview questions on model building, hyperparameters, ROC curve, gradient boosting, and real estate valuation
For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forests
Random forest hyperparameters include number of trees, maximum depth, and minimum samples for a leaf node
ROC curve is a graphical representation of the trad...
based on 1 interview experience
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Senior Engineer
9
salaries
| ₹22.9 L/yr - ₹31 L/yr |
Senior Manager
7
salaries
| ₹13 L/yr - ₹26 L/yr |
Software Developer
5
salaries
| ₹4.2 L/yr - ₹17 L/yr |
Senior Analyst
5
salaries
| ₹13.5 L/yr - ₹16 L/yr |
Sde1
5
salaries
| ₹18 L/yr - ₹18 L/yr |
Bluestock ™
ACTE
Birla White
Zeetech Management And Marketing