| Name | Awarded | Score |
|---|---|---|
| Disciplined | 41 | 653 |
| Booster | 39 | 658 |
| machine-learning | 38 | 660 |
| Talkative | 33 | 674 |
| Electorate | 31 | 679 |
| Great Question | 26 | 696 |
| Strunk & White | 26 | 696 |
| Mortarboard | 23 | 707 |
| Proofreader | 22 | 712 |
| Great Answer | 22 | 712 |
| Beta | 21 | 716 |
| Altruist | 20 | 720 |
| Deputy | 20 | 720 |
| python | 17 | 736 |
| Unsung Hero | 17 | 736 |
| Publicist | 16 | 741 |
| Stellar Question | 13 | 761 |
| neural-network | 12 | 768 |
| deep-learning | 12 | 768 |
| Generalist | 11 | 776 |
| Populist | 8 | 806 |
| Convention | 8 | 806 |
| Lifejacket | 7 | 819 |
| Synonymizer | 7 | 819 |
| machine-learning | 6 | 833 |
| Constable | 6 | 833 |
| Inquisitive | 6 | 833 |
| keras | 6 | 833 |
| classification | 4 | 871 |
| Sheriff | 4 | 871 |
| Copy Editor | 4 | 871 |
| clustering | 3 | 898 |
| scikit-learn | 3 | 898 |
| nlp | 3 | 898 |
| Marshal | 3 | 898 |
| tensorflow | 3 | 898 |
| Archaeologist | 3 | 898 |
| deep-learning | 3 | 898 |
| Refiner | 2 | 936 |
| Sportsmanship | 2 | 936 |
| Pundit | 2 | 936 |
| cnn | 2 | 936 |
| reinforcement-learning | 2 | 936 |
| neural-network | 2 | 936 |
| clustering | 1 | 1,000 |
| q-learning | 1 | 1,000 |
| k-means | 1 | 1,000 |
| bert | 1 | 1,000 |
| transformer | 1 | 1,000 |
| xgboost | 1 | 1,000 |