acmpesuecc / acmpesuecc/Recommendation-System

A more interactive selection of features

Abierto
#3 0 comentarios 0 reacciones 0 asignados Ver en GitHub
40-55+ enhancement hacktoberfest medium
Lenguaje dominante
Jupyter Notebook
Estrellas
1
Forks
3
Métricas de merge de PR
Sin PR fusionados en 30 d

Descripción

### Describe the feature to be enhanced
The code allows a very static approach in accepting features to be used while getting recommendations.

### Tasks
It should be a part of the GUI where a user can choose the specific features that want to be used.

### Expected behaviour post enhancement
The user must be allowed to enter which feature they wish to use.

### Bounty rules

* Bounty points -> If you have completed the tasks **( 40-55+ 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)**

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