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Time Series Forecasting analysis to get insights and a prediction of Walmart weekly sales

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Walmart-Sales-Prediction

Repository to analyse the time-series data from Walmart Inc found in Walmart Sales Dataset of 45 stores.

Some of the topics approached in the notebook are:

  • Exploratory Data Analysis
  • Autocorrelation
  • Time Series Decomposition in seasonal, trend and noise
  • Model training and tunning to predict Walmart's weekly sales

System to analyse the problem:

Create an automated system where the data is passed and the system finds the best ML, or statistical model (or unsemble), save the best model specifications in a database. Save best prediction in the database. Evaluations and predictions are shown in an app on the web browser with plots of:

  • Prediction over training
  • Prediction over test
  • Two or more evaluation metrics changing for each running
  • Prediction over all stores with subplots
  • Training over a store and predicting over others with the same model
  • Predict combined sales
  • Other exploratory analysis features in the panel

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Time Series Forecasting analysis to get insights and a prediction of Walmart weekly sales

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