1. What does correlation mean? what is the interpretation if the correlation is 0? 2. What is collinearity, how to handle it? also for multicollinearity 3. How to evaluate regression models? explain r squared and adjusted r squared and difference between them 4. Explain regularization techniques, difference between ridge and lasso? 5. Explain working of decision trees, how to select parent and child nodes, gini impurity, etc? 6. Bagging and boosting and their difference, what is ensemble models, how to handle overfitting, explain precision recall roc curve 7. Create dictionary in python from 2 list and key values, sql query for window functions-Rank(), all joins in sql
