Across
- 2. Extracting insights
- 4. Feature creation
- 6. Math or coding to train data
- 7. Data research
- 9. How can we make it happen?
- 10. Evaluating model effectiveness
- 12. What will happen?
- 13. Data storytelling
- 14. factual information
Down
- 1. Complex and Large Data
- 3. Removing bad data
- 5. What happened?
- 8. Why did it happen?
- 11. Scope the problem and identify data