Axtria Interview Questions, Process, and Tips

Q1. Ridge and lasso regression difference
Ans. 
Ridge and lasso regression are both regularization techniques used in linear regression to prevent overfitting by adding penalty terms to the cost function.
• Ridge regression adds a penalty term equivalent to the square of the magnitude of coefficients, while lasso regression adds a penalty term equivalent to the absolute value of the magnitude of coefficients.

• Ridge regression tends to shrink the coefficients towards zer...read more
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Q2. Random forest vs decision tree vs xg boost
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Random forest is an ensemble method using multiple decision trees, XGBoost is a gradient boosting algorithm that builds trees sequentially.
• Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.

• Decision tree is a single tree model that makes decisions based on features to predict outcomes.

• XGBoost is a gradient boosting algorithm that builds trees sequentially, op...read more
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Q1. Why do you not want to opt for higher studies
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Q2. What to do when a team member is not collaborating
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3 hours, mathematics, logic, design

Dashboard of salary payslips

Q1. Why did you use this
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Q2. Why did you chose this color
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DI, Quant and coding

Q1. About skills mentioned in resume
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Q1. General questions
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Q1. Basic Understanding ML , SQL Python and case study related questions
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Q1. Basic sql python and ML Question
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Q1. How to deal with problems that come daily along the way
Ans. 
To deal with daily problems, it is important to stay calm, prioritize tasks, seek help when needed, and learn from each experience.
• Stay calm and composed to think clearly and make rational decisions

• Prioritize tasks based on urgency and importance

• Seek help from colleagues or supervisors when facing complex problems

• Learn from each experience to prevent similar problems in the future
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Q1. Machine learning models
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Q1. Explain projects in detail
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Aptitude, English and basic programming mcq question were there. Around 70 questions