🚨Data Science Interview Questions
1. Multiple Linear Regression?
3. OLS vs MLE?
4. R2 vs Adjusted R2?
During Model Development which one do we consider?
5. Lift chart, drift chart
6. Sigmoid Function in Logistic regression
7. ROC what is it? AUC and Differentiation?
8. Linear Regression from Multiple Linear Regression
9. P-Value what is it and its significance? What does P in P-Value stand for? What is Hypothesis Testing? Null hypothesis vs Alternate Hypothesis?
10. Bias Variance Trade off?
11. Over fitting vs Underfitting in Machine learning?
12. Estimation of Multiple Linear Regression
13. Forecasting vs Prediction difference? Regression vs Time Series?
14. p,d,q values in ARIMA models
1. What will happen if d=0
2. What is the meaning of p,d,q values?
16. How to find the node to start with in a Decision tree.
17. TYPES of Decision trees - CART vs C4.5 vs ID3
18. Gini index vs entropy
19. Linear vs Logistic Regression
20. Decision Trees vs Random Forests
21. Questions on liner regression, how it works and all
22. Asked to write some SQL queries
23. Asked about past work experience
24. Some questions on inferential statistics (hypothesis testing, sampling techniques)
25. Some questions on table (how to filter, how to add calculated fields etc)
27. What certification Have u done?
28. What is a Confidence Interval?
29. What are Outliers? How to Detect Outliers?
30. How to Handle MissingValue?
1. Multiple Linear Regression?
3. OLS vs MLE?
4. R2 vs Adjusted R2?
During Model Development which one do we consider?
5. Lift chart, drift chart
6. Sigmoid Function in Logistic regression
7. ROC what is it? AUC and Differentiation?
8. Linear Regression from Multiple Linear Regression
9. P-Value what is it and its significance? What does P in P-Value stand for? What is Hypothesis Testing? Null hypothesis vs Alternate Hypothesis?
10. Bias Variance Trade off?
11. Over fitting vs Underfitting in Machine learning?
12. Estimation of Multiple Linear Regression
13. Forecasting vs Prediction difference? Regression vs Time Series?
14. p,d,q values in ARIMA models
1. What will happen if d=0
2. What is the meaning of p,d,q values?
16. How to find the node to start with in a Decision tree.
17. TYPES of Decision trees - CART vs C4.5 vs ID3
18. Gini index vs entropy
19. Linear vs Logistic Regression
20. Decision Trees vs Random Forests
21. Questions on liner regression, how it works and all
22. Asked to write some SQL queries
23. Asked about past work experience
24. Some questions on inferential statistics (hypothesis testing, sampling techniques)
25. Some questions on table (how to filter, how to add calculated fields etc)
27. What certification Have u done?
28. What is a Confidence Interval?
29. What are Outliers? How to Detect Outliers?
30. How to Handle MissingValue?