1. Tell me about your journey as a Data Science aspirant
2. What was the one challenging project or task that you did in this domain and why was it challenging?
3. What model did you use for that? I replied Random Forests
4. What is Random Forest and how is it used?
5. How are Random Forest different from Decision Trees and what problems do they solve that decision trees can’t?
6. Multi class Classification and which metric is preferred for it
7. Given a banking scenario to predict Loan Defaulters, which metric will you use?
8. How will you handle the class imbalance in this case?
Date: 14/06/21
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