Job Role: Data Science Trainee

  • Data Science Trainee

    QSpiders’ interview was insightful and revolved around data analysis, machine learning concepts, and Python programming. Their focus on real-world applications and problem-solving was commendable.
    Questions asked during the interview:

    1. How do you preprocess data for machine learning models?
    2. Can you explain the difference between supervised and unsupervised learning?
    3. What libraries do you prefer in Python for data analysis, and why?
    4. How do you handle missing data in a dataset?
    5. What steps do you take to evaluate the performance of an ML model?
    6. Can you describe a project where you applied data science techniques to solve a business problem?