BSTL Offshore Consultants Data Analyst Interview Questions and Answers

Forecasting problem - Predict daily sku level sales

Q1. What is difference between bias and variance
Ans. 
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
• Bias is the error introduced by approximating a real-world problem, leading to underfitting.

• Variance is the error introduced by modeling the noise in the training data, leading to overfitting.

• High bias can cause a model to miss relevant relationships between features and target variable.

• High variance can cause a model to ...read more
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Q2. Parametric vs non parametruc model
Ans. 
Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.
• Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.

• Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.

• Examples of parametric models inc...read more
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Q1. Trusted work and women useful this work
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Q2. This work work from home
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Q3. I want this job to take good care of my family
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Q4. This work confirm sir
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HTML and Aptitude Questions, Typing test, Hr Round

Q1. About ourselves, role which they hire, about organization
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Q2. Tell me something about yourself? Why u want to work with Apex
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