Walmart Sales Forecasting Data Science Project

Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.


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What will you learn

  • Timeseries Dataset

  • Conditional statements in R

  • Loops in R

  • Data manipulation in R

  • plyr - R package

  • Forecast - R package

  • Reshape - R package

  • Machine learning in R

Project Description

We have been provided with historical sales Data of 45 Walmart stores located in different regions. Each store contains many departments and we have to project the sales for each department in each store.

To add to the challenge, selected holiday markdown events are included in the dataset. These markdowns are known to affect sales, but it is challenging to predict which departments are affected and the extent of the impact.

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Curriculum For This Mini Project

  Import Data Files
  Explore Data Set
  Calculate Average sales by Store
  Calculate Average sales by Department
  Average Sales by Store and Department
  Test Data Set
  Sample Submission Data
  Check null values
  Submitting to Kaggle
  Problem with current solution
  Recap of Code
  Avg Sales by Store, Department, Holiday & week
  Forecast Methods - Overview
  Arima Model
  Holt-Winters Forecasting
  How Machine Learning works