This week we are going to show you how you can use Hal9 to run your own time series forecast.
Time series forecasting allows you to make scientific predictions with data that has been timestamped. Oftentimes, creating a time series forecast can be time-consuming. Our time series forecasting block lets you harness the power of Facebooks' Prophet and visualize this powerful tool's output with our drag and drop blocks.
In this video, we show you how you can use Prophet to run a Time Series Forecast on Apple stock. However, you can customize what data you are uploading for a time series forecast; whether you want to forecast stocks within your investment portfolio, sales, or another data set, you can apply the Prophet block to your data.
You can check out the pipeline here.
If you are interested in using AI models in your data analysis, please give hal9.com a try and let us know what you think. If you’re ready for a bigger challenge, you can create entirely new transformations, visualizations, or predictive models, and contribute them to our open-source GitHub repository.