Sed-Young-Wa (เสร็จยังหว่า) is a service for estimating the end of the issues submitted in the Traffy fondue platform. We built a regression model GradientBoostingRegressor
with features from the issues including
issue types, submission date, and district. And also uses scraped features: weather and holidays in Thailand. After that, We constructed a model pipeline and stored model variables on MLFlow to retrieve the model
in production. The model results achieved a root-mean-squared error (RMSE) of 20.
karnjj/sed-young-wa
A service for estimating the end of the issues submitted in the Traffy fondue platform.
Jupyter Notebook