acmpesuecc / acmpesuecc/Recommendation-System
Application of model and efficiency
Offen
60-75+
hacktoberfest
hard
help wanted
- Vorherrschende Sprache
- Jupyter Notebook
- Sterne
- 1
- Forks
- 3
- PR-Merge-Kennzahlen
- Keine gemergten PRs in 30 T.
Beschreibung
### Describe the feature to be enhanced
The code at the moment is of a basic model and is rather slow when the iterations are run.
### Tasks
You need to provide a screenshot showing the efficiency of your model
### Expected behaviour post enhancement
The highest efficiency model at the moment will be accepted.
### Bounty rules
* Bounty points -> If you have completed the tasks **( 60-75+ points )**
* Brownie points -> If you have added an extra feature that was not mentioned **(10 points)**
* Enthusiasm points -> Added in the end if a PR has gone above and beyond **(10 points)**
Beitragsleitfaden
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