Axis Direct Data Scientist Interview Questions and Answers

Q1. How to check model performance? Over fit vs underfit?
Ans. 
Model performance can be checked using various metrics such as accuracy, precision, recall, F1 score, and confusion matrix.
• Split data into training and testing sets

• Train the model on the training set

• Evaluate the model on the testing set using metrics such as accuracy, precision, recall, F1 score, and confusion matrix

• If the model performs well on the testing set, it is not overfit or underfit

• If the model performs well o...read more
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Python code for 45 mins. Pandas , group by , filtering questions

Q1. Mostly behavioral questions
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Q1. Detailed project questions
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Q2. Explain completed gen ai project
Ans. 
Developed a generative AI model to create realistic images of fictional characters.
• Used GANs (Generative Adversarial Networks) to generate new images based on existing data.

• Trained the model on a dataset of character images from various sources.

• Implemented techniques like style transfer to enhance the diversity and creativity of generated images.

• Evaluated the model's performance based on image quality metrics and user
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Q1. How to check model performance? Over fit vs underfit?
Ans. 
Model performance can be checked using various metrics such as accuracy, precision, recall, F1 score, and confusion matrix.
• Split data into training and testing sets

• Train the model on the training set

• Evaluate the model on the testing set using metrics such as accuracy, precision, recall, F1 score, and confusion matrix

• If the model performs well on the testing set, it is not overfit or underfit

• If the model performs well o...read more
Answered by AI
Add your answer

Python code for 45 mins. Pandas , group by , filtering questions

Q1. Mostly behavioral questions
Add your answer