Sales Prediction of 10 different stores having 50 items each using machine learning algorithms such as Light GBM, Linear Regression, XGBoost and CatBoost; also comparative analysis on all the ML algorithms used.
License: MIT License
Sales Prediction of 10 different stores having 50 items each using machine learning algorithms such as Light GBM, Linear Regression, XGBoost and CatBoost; also comparative analysis on all the ML algorithms used.
#Dataset The dataset contains train and test in CSV files. train.csv has data from 2013 to 2017 (5 years), including the variable target sales. test.csv is for the first the 3 months of 2018 which needs to be forecasted.
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