This project aims on predicting if a boardgame is popular (has many owners). The dataset is scraped from BoardGameGeek via python scrapper.
The project is consist of two notebooks. The first one, 00_cleaning.ipynb is the part of data cleaning and preprocessing, and the second part, 01_modeling.ipynb is for modeling with decision trees. The predictive power of current result is not good enough due to the lack of informative features. Unexpected dependence between average_weight
and total_owners
is discovered which makes useful features even less. Future directions about the project are listed at the end of the modeling part, and should be done and updated soon.
yichanlee / board_game_owner_prediction Goto Github PK
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