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Bharat Swaroop Academy Senior Data Scientist Interview Questions and Answers

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Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Difference between supervised and unsupervised learning
  • Ans. 

    Supervised learning uses labeled data to train the model, while unsupervised learning uses unlabeled data.

    • Supervised learning requires a target variable to predict, while unsupervised learning does not.

    • In supervised learning, the model learns from the labeled training data and makes predictions on new data. In unsupervised learning, the model finds patterns and relationships in the data without guidance.

    • Examples of sup...

  • Answered by AI
  • Q2. Projects from resume

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

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