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This API currently provides forecasting for timeseries data that you can test below. You can use it to forecast energy comsuption, temperature, or any other timeseries data which has some seasonality effect. | Prophet is a procedure for forecasting time series data. It is based on an additive model where non-linear trends are fit with yearly and weekly seasonality, plus holidays. It works best with daily periodicity data with at least one year of historical data. Prophet is robust to missing data, shifts in the trend, and large outliers. |
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Transforming audience measurement through artificial intelligence and advanced analytics. As a real-time people and vehicle-traffic insight provider, Calton Datx ensures accurate forecasting, real-time monitoring, and efficiency tracking, making it a powerful tool for campaign planning and performance measurement

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