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      Nuclespace

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      AI/ML Intern Interview

      9 Sept 2024
      Anonymous employee
      Mumbai
      Accepted offer
      Positive experience
      Difficult interview

      Application

      I interviewed at Nuclespace (Mumbai)

      Interview

      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.
      Answer question