/Kaggle_competition_Restaurant_Visit_Forecast

For the final evaluation of my R course at Polytechnique, I was tasked to undergo a project that involved data and the development of both a shiny app and the construction of an R package. With my group, we chose to go through a Kaggle competition which involved forecasting the number of visitors in restaurant in Japan.

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Kaggle_competition_Restaurant_Visit_Forecast

For the final evaluation of my R course at Polytechnique, I was tasked to undergo a project that involved data and R.

With my group, we chose to go through a Kaggle competition which involved forecasting the number of visitors in restaurant in Japan. The idea comes from a Kaggle competition, as were the data which were used in this project.
To build our forecasting we first wen through a feature engineering process, then used a combination of XGBoost and time series methods for predictions.

Finally, we were deliver our results embedded in a shinyapp with appropriate visualizations, conataine in an R package we had to create which allowed any user in posession of our package access the results with a one liner.