Interview Experience for the role of Data Scientist at L&T Financial Services

1. Explain your Projects
2. Assumptions in Multiple linear regression
3. Decision tree algorithm
4. Gini index
5. Entropy
6. Formulas of gini and entropy
7. Random forest algorithm
8. XGBoost Algorithm
9. Central Limit theorem
10. R2
11. Adj R2
12. VIF
13. Different Methods to measure Accuracy
14. Explain Bagging and Boosting
15. Difference Between Bagging and Boosting

Date: 16/06/21
For Linkedin Post Please Click Here