30 Minutes of Coding: A coding challenge or algorithm problem to demonstrate your programming skills and problem-solving ability.
30 Minutes of Technical Questions: Expect questions on machine learning concepts, algorithms, and model evaluation to assess your theoretical knowledge and understanding.
30 Minutes of HR Round: This segment focuses on your fit within the company, including your motivations, strengths, and teamwork skills.
Interview questions [1]
Question 1
Explain the difference between supervised and unsupervised learning.
What is overfitting, and how can you prevent it?
Can you describe a common evaluation metric for classification models and explain how it’s used?
How would you handle missing data in a dataset?
Explain the concept of bias-variance tradeoff in machine learning.
