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melanie edited this page Apr 28, 2018 · 4 revisions

A time series is a series of data points indexed in time order. Time series analysis accounts for the fact that data points taken over time may have an internal structure (such as autocorrelation, trend, or seasonal variation) that should be account for.

In this repository, we are using two different algorithms by two different packages to implement on web traffic visit forecasting.

Please use the navigation bar on the right to access each page of our website or visit our website (Edamame.) to run through the whole process by following the buttons in each section.

Contents

  • Time Series
  • ARIMA
    • CONCEPT
    • PREREQUISITES
      • Stationarity
    • ARIMA MODEL
    • Performance of ARIMA model
  • LSTM
    • CONCEPT
    • Performance of LSTM model
  • Comparisons
    • What we feel after using the two models
    • Pros of two models
    • Cons of two models
    • Further improvements
  • Contacts
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