Axtria Interview Questions, Process, and Tips

1 Hour : 60 Question

1 Hour : 3 Question DSA

Q1. About IC design
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Q2. Resume based questions
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Q1. Pharma industry questions
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Q1. What are your skill?
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Q2. I have Python, SQL and Excel Experience.
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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
Ans. 
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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DI, Quant and coding

Q1. About skills mentioned in resume
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Q1. General questions
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