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I applied via Walk-in and was interviewed in Mar 2024. There were 2 interview rounds.
Basic coding questions
Developed a predictive model for customer churn using logistic regression
Chose logistic regression for its interpretability and ability to handle binary outcomes
Evaluated model performance using accuracy, precision, recall, and F1 score
Analyzed customer data including demographics, purchase history, and customer service interactions
I applied via Naukri.com and was interviewed in Feb 2024. There was 1 interview round.
Reverse a given string
Use built-in functions like reverse() or slice() in Python
Iterate through the string in reverse order and append characters to a new string
Convert the string to an array of characters, reverse the array, and join it back into a string
Regularization is a technique used to prevent overfitting in machine learning models by adding a penalty term to the loss function.
Regularization helps to reduce the complexity of the model by penalizing large coefficients.
It adds a penalty term to the loss function, such as L1 (Lasso) or L2 (Ridge) regularization.
Regularization helps to improve the generalization of the model by discouraging overfitting.
Examples of re...
I applied via Recruitment Consulltant and was interviewed in Feb 2024. There were 3 interview rounds.
Hackerank Assignment
Top trending discussions
I applied via Approached by Company and was interviewed in Mar 2022. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in Dec 2024. There were 2 interview rounds.
I was interviewed in Nov 2020.
I applied via LinkedIn and was interviewed before Oct 2023. There was 1 interview round.
I applied via LinkedIn and was interviewed before May 2021. There were 4 interview rounds.
The aptitude test is pretty basic and logical
based on 3 interviews
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