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Time management important
I applied via campus placement at Acharya Institute of Technology, Bangalore and was interviewed in Feb 2022. There were 2 interview rounds.
You have to be very fast.
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Aptitude test was easy and v slow
I applied via Walk-in and was interviewed in Nov 2023. There was 1 interview round.
Design is the process of creating solutions that are visually appealing, functional, and user-friendly.
Design involves problem-solving and creativity
It focuses on creating visually appealing and aesthetically pleasing solutions
Design considers user experience and functionality
Examples include graphic design, product design, and web design
I applied via campus placement at Lovely Professional University (LPU) and was interviewed in Feb 2024. There was 1 interview round.
Dfs based on graphs ,yes they were lengthy plus ,the compiler was really hard to work on
I applied via Company Website and was interviewed before Jul 2023. There was 1 interview round.
I applied via Walk-in and was interviewed in Jul 2021. There were 3 interview rounds.
posted on 17 Oct 2024
I applied via Campus Placement and was interviewed in Sep 2024. There were 5 interview rounds.
A random topic was given and we had to speak on it
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
Passionate about data science
Believe company offers growth and learning opportunities
Bias in ML refers to the systematic error in a model's predictions, leading to inaccurate results.
Bias is the algorithm's tendency to consistently learn the wrong thing by not taking all factors into account.
It can result from the data used to train the model being unrepresentative or skewed.
Bias can lead to unfair or discriminatory outcomes, especially in sensitive areas like hiring or lending decisions.
Examples inclu...
Regression in ML is a supervised learning technique used to predict continuous values based on input features.
Regression models establish a relationship between dependent and independent variables.
Common regression algorithms include linear regression, polynomial regression, and logistic regression.
Evaluation metrics for regression models include Mean Squared Error (MSE) and R-squared.
Example: Predicting house prices b...
50 question in 15 mins
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
I am passionate about data science and enjoy working with data to derive insights and make informed decisions.
I believe your company is at the forefront of innovation in the field of data science, and I am excited about the opportunity to learn from experts in the industry.
I am impressed by the projects your c...
I applied via Campus Placement and was interviewed in Nov 2024. There was 1 interview round.
I applied via Campus Placement and was interviewed in Feb 2024. There was 1 interview round.
1.5 hours, data structure and algorithms, Their own platform
based on 2 interviews
Interview experience
based on 1 review
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