Rossmann Store Sales

Purpose:

The project is to forecast the "Sales" column for the test set.

The Dataset are provided with historical sales data for 1,115 Rossmann stores, some stores in the dataset were temporarily closed for refurbishment

Data Extraction:

Rossmann Store Sales is from Kaggle:

https://www.kaggle.com/c/rossmann-store-sales
Dataset Features

Id, StoreID, Sales, Customer, Open, StateHoliday, SchoolHoliday, StoreType, Assortment, CompetitionDistance, CompetitionOpenSince[Month/Year], Promo, Promo2, Promo2Since[Year/Week], PromoInterval
The Sales is the label we want to predict

Data Preprocessing

String to numerical
Label Encode
Imputate missing value
- feature mode
- KNN model

Build Model

Random Forest
Xgboost
LightGBM

Result

Final test result is 0.122