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I applied via Referral and was interviewed in May 2024. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Mar 2023. There were 2 interview rounds.
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
Logistic regression equation: P(Y=1|X) = 1 / (1 + e^-(b0 + b1X1 + b2X2 + ... + bnXn))
The equation calculates the probability of the dependent variable being 1 given the values of the independent variables.
The coefficients (b0, b1, b2, ..., bn) are estimated using maximum likelihood est...
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I was interviewed in Jan 2025.
I was interviewed in Aug 2024.
I was interviewed in Jan 2025.
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Aptitudes test assess a person logical reasoning problem solving and analysis skills they are commonly used in job recruitment collages and admissions
I was interviewed in Aug 2024.
Attended the TCS NQT, depending on how many advanced questions and the test cases you pass in coding section, you'll get assigned Ninja (3L) Digital (7L) or prime (9L)
posted on 9 Feb 2025
I was interviewed in Jan 2025.
A sequence was provided: 4181, 2684, 1597, 987, 610.
first 2 are given and write code for other value calculation using java 8
The second question required writing a reverse of a palindrome using both Java 8 streams. I was able to successfully write both and clear the first round.
Java 17 introduces sealed classes to restrict inheritance and improve code maintainability.
Sealed classes are declared using the 'sealed' keyword followed by the permitted subclasses.
Subclasses of a sealed class must be either final or sealed themselves.
Errors may occur when trying to extend a sealed class with a non-permitted subclass.
Implementation of 'notify me if item is back in stock' feature in an ecommerce application
Create a database table to store user notifications for out-of-stock items
Implement a service to check item availability and send notifications to subscribed users
Provide a user interface for users to subscribe to notifications for specific items
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