University of San Francisco Web Traffic Forecasting Business Statistics

Web Traffic Forecasting

This assignment is based on a competition involving forecasting. Submit an excel file. Instructions for discussions is towards the end of the case.

Sequential or temporal observations emerge in many key real-world problems, ranging from biological data, financial markets, weather forecasting, to audio and video processing. The field of time series encapsulates many different problems, ranging from analysis and inference to classification and forecast. What can you do to help predict future views?

This competition will run as two stages and involves prediction of actual future events. There will be a training stage during which the leaderboard is based on historical data, followed by a stage where participants are scored on real future events.

You have complete freedom in how to produce your forecasts. The data consists of different Wikipedia articles and their traffic in 2017.

Start with visualizing the data. For every website, how does the traffic look? Would you apply the FORECAST.LINEAR model or FORECAST.ETS model? Make this decision for every article/webpage. The decision can be based on the MAPE calculations.