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Food Stock Demand Prediction Based on Historical Sales
Project designed to predict the daily supply demand of bakery products that Bimbo sells in stores throughout Mexico.
In this project developed in R you will find: exploratory analysis, product listing, customers and places of highest consumption; resource engineering for categorical variables; identification of the most relevant variables; correlation; underfitting and overfitting control for machine learning model provide greater efficiency; training and prediction of the model; error measures between predicted and previously observed values; plus graphs exemplifying each step of the Data Science process.
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