Prototypes on how to predict timeseries
Timeseries Prediction for Website Visitors
- What is the purpose of this POC: This POC shows how to predict time series with facebooks prophet library. This can be used for sales or website data.
- In this case we predict Liip website users.
Link to DEMO or 30s VIDEO of the project
- Link to POC demo or video: none exists.
- Link to the blogpost if it exists: none exists.
- Is it protected with a psw/login: no.
- What is the benefit for the customer: A customer might for example be made aware of that energy consumption at 18:20 is going to be huge and postpone using his washing machine.
- What is the benefit for the business: A business owner might forecast sales data, energy consumption data and act in a predictive manner.
- How much MD did you use to build it: 1MD
- Which data is it based on: An export of liip website users.
- Which technologies were used: Facebook prophet library
- Which things could be build with this POC if you had more time: An app to save energy for an energy company.