The Ultimate Data Science Workflow Template - How to Create Projects with Impact

The Ultimate Data Science Workflow Template - How to Create Projects with Impact

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Step 4: Credibility Counts

17 of 40

17 of 40

Step 4: Credibility Counts

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The Ultimate Data Science Workflow Template - How to Create Projects with Impact

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  1. 1 Intro
  2. 2 Overview
  3. 3 Step 1: Explore the Problem
  4. 4 Step 1: Identify Data
  5. 5 Step 1: Import Data
  6. 6 Step 1: Combine Data
  7. 7 Step 2: Explore Data
  8. 8 Step 2: Visualize Data
  9. 9 Step 2: Cleaning Data
  10. 10 Step 3: Split into Train and Test
  11. 11 Step 3: Feature Scaling
  12. 12 Step 3: Feature Selection
  13. 13 Step 3: Model Selection
  14. 14 Step 3: Analyze the Result
  15. 15 Step 4: Present Findings
  16. 16 Step 4: Visualize Results
  17. 17 Step 4: Credibility Counts
  18. 18 Step 5: Use Insights
  19. 19 Step 5: Measure Impact
  20. 20 Step 5: Main goal
  21. 21 General Advice
  22. 22 Project Description
  23. 23 Project Solution
  24. 24 Step 1a Define Problem
  25. 25 Step 1b Import Libraries
  26. 26 Step 1c Identify Data
  27. 27 Step 1d Import Data
  28. 28 Step 1e Combine Data
  29. 29 Step 2a Explore Data
  30. 30 Step 2b Groupby, counts, Statistics
  31. 31 Step 2c Visualize Data
  32. 32 Step 2d Clean Data
  33. 33 Step 3a Split into Train and Test
  34. 34 Step 3d Model Selection
  35. 35 Step 3e Analyze Result
  36. 36 Step 4ab Present Findings and Visualize Result
  37. 37 Step 4c Credibility Counts
  38. 38 Step 5a Use Insights
  39. 39 Step 5b Measure Impact
  40. 40 Conclusion

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