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Utopus Insights Data Scientist Interview Questions and Answers

Updated 20 Jul 2023

Utopus Insights Data Scientist Interview Experiences

1 interview found

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - Technical 

(3 Questions)

  • Q1. 1st Round of Technical Discussion with some girl who was herself doubtful about the concepts which she was asking. What is p-value? What is Linear Regression? What is Random Forest? Come on man. Who asks...
  • Q2. What is Linear Regression
  • Ans. 

    Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

    • Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

    • It assumes a linear relationship between the independent and dependent variables.

    • The goal of linear regression is to find the best-fitting line that minimi...

  • Answered by AI
  • Q3. What is Random Forest
  • Ans. 

    Random Forest is an ensemble learning method used for classification and regression tasks.

    • Random Forest is made up of multiple decision trees that work together to make predictions.

    • Each tree in the Random Forest is trained on a random subset of the training data.

    • The final prediction is made by averaging the predictions of all the individual trees.

    • Random Forest is known for its high accuracy and ability to handle large ...

  • Answered by AI
Round 2 - Coding Test 

They will give you some dataset from renewable domain and will ask you to forecast.

Round 3 - Technical 

(1 Question)

  • Q1. Discussion on how you solved your assignment. They will not ask any cross questions.

Skills evaluated in this interview

Interview questions from similar companies

Data Scientist Interview Questions & Answers

ABCD user image sandeep kolli

posted on 23 Jul 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Missing values outliers, over fitting underfitting
Round 2 - Technical 

(1 Question)

  • Q1. Outliers missing values, overfitting underfitting
  • Ans. 

    Understanding outliers, missing values, overfitting, and underfitting in data science.

    • Outliers are data points that significantly differ from other data points in a dataset.

    • Missing values are data points that are not present in a dataset.

    • Overfitting occurs when a model learns noise in the training data rather than the underlying pattern.

    • Underfitting occurs when a model is too simple to capture the underlying pattern in...

  • Answered by AI

Skills evaluated in this interview

Data Scientist Interview Questions & Answers

ABCD user image sandeep kolli

posted on 23 Jul 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Missing values outliers, over fitting underfitting
Round 2 - Technical 

(1 Question)

  • Q1. Outliers missing values, overfitting underfitting
  • Ans. 

    Understanding outliers, missing values, overfitting, and underfitting in data science.

    • Outliers are data points that significantly differ from other data points in a dataset.

    • Missing values are data points that are not present in a dataset.

    • Overfitting occurs when a model learns noise in the training data rather than the underlying pattern.

    • Underfitting occurs when a model is too simple to capture the underlying pattern in...

  • Answered by AI

Skills evaluated in this interview

Utopus Insights Interview FAQs

How many rounds are there in Utopus Insights Data Scientist interview?
Utopus Insights interview process usually has 4 rounds. The most common rounds in the Utopus Insights interview process are Technical, Resume Shortlist and Coding Test.
What are the top questions asked in Utopus Insights Data Scientist interview?

Some of the top questions asked at the Utopus Insights Data Scientist interview -

  1. What is Linear Regress...read more
  2. What is Random For...read more
  3. 1st Round of Technical Discussion with some girl who was herself doubtful about...read more

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