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