This project is about Walmart Sales Forecasting in detail by analyzing and forecasting based on predictors such as markdowns, holiday, temperature and economic factors with the aid of descriptive analysis and statistical models. The models constructed are Linear Regression, Lasso and Ridge Regression. Cross Validation is used to check the performance of the models
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Sushanthalapati/Walamart-sales-forecasting
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Analyzed three years of sales data at Walmart and forecasted sales for 45 retail locations
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