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Data Science Basics
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Avg score: 48% • Most missed: “Types of Key's - Candidate Key”
Data Science Basics
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25 Questions

1. How much will she use the service?

2. Model induction

3. Types of Key's - Foreign Key (FK)

4. Data Types: Quantitative (Q)

5. Entropy

6. Statistical Inference

7. Types of Key's - Primary Key

8. Common Data Mining Task - Causal Modeling

9. Data Type

10. The formula can be mathematical - logical statement (e.g. - rule) - etc

11. Data Format: CSV

12. Types of Key's - Foreign Key (FK) Referential Integrity

13. aka: in-sample data

14. Data Format: HTML

15. Data Semantics

16. Sum of the dimensions of the features

17. Information Gain

18. Anything that has some order

19. Predictive Model

20. Data Types: Nominal (Catergorical) (N)

21. Represents a fact or a data point

22. API

23. Stuff that does not have an order

24. Sources of Error in Data

25. Types of Key's - Superkey

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