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Classroom Contents
Case Study - Making the Most out of a Doomed Project
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- 1 Introduction
- 2 Weaknesses in ML projects
- 3 Wrong expectations
- 4 Should you participate
- 5 My experience
- 6 A good reputation
- 7 Challenges
- 8 Why we took this project
- 9 The modified metric
- 10 The final goal
- 11 The plan
- 12 The data
- 13 Tables
- 14 Data Loss
- 15 Contacting EF
- 16 Distribution Issues
- 17 Data Recovery
- 18 Results
- 19 Why
- 20 Success
- 21 If something is wrong
- 22 The best field
- 23 Plan
- 24 Final Report
- 25 Conclusions
