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iNeuron.ai Data Scientist Intern Interview Questions and Answers

Updated 26 Aug 2022

iNeuron.ai Data Scientist Intern Interview Experiences

1 interview found

Data Scientist Intern Interview Questions & Answers

user image Nagraj Karanth

posted on 20 Aug 2022

I applied via LinkedIn and was interviewed in Feb 2022. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is machine leaening
  • Ans. 

    Machine learning is a subset of artificial intelligence that involves training algorithms to make predictions or decisions based on data.

    • Machine learning involves using algorithms to learn patterns in data

    • It can be supervised, unsupervised, or semi-supervised

    • Examples include image recognition, natural language processing, and recommendation systems

  • Answered by AI
  • Q2. How to handle missing values
  • Ans. 

    Missing values can be handled by imputation or deletion.

    • Imputation involves filling in missing values with estimated values based on other data points.

    • Deletion involves removing rows or columns with missing values.

    • The choice of method depends on the amount and pattern of missing data.

    • Imputation methods include mean imputation, regression imputation, and k-nearest neighbor imputation.

    • Deletion methods include listwise de...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Please join ineuron you will get to learn lot of things krish sir and sudhandhu sir is teaching well and amazing compared to all other start up it is far better

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Process Duration
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Round 1 - Technical 

(2 Questions)

  • Q1. What is overfitting in machine learning?
  • Ans. 

    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.

    • ...

  • Answered by AI
  • Q2. Overfitting accurs when a model learns the details.......etc
  • Ans. 

    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...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Research the company before interview.

iNeuron.ai Interview FAQs

How many rounds are there in iNeuron.ai Data Scientist Intern interview?
iNeuron.ai interview process usually has 1 rounds. The most common rounds in the iNeuron.ai interview process are Technical.
What are the top questions asked in iNeuron.ai Data Scientist Intern interview?

Some of the top questions asked at the iNeuron.ai Data Scientist Intern interview -

  1. What is machine leaen...read more
  2. How to handle missing val...read more

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iNeuron.ai Data Scientist Intern Salary
based on 41 salaries
₹1 L/yr - ₹7.5 L/yr
13% less than the average Data Scientist Intern Salary in India
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