This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

Last update: Jan 04, 2023

Overview

📈 Automated Time Series Forecasting

Background: This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

Try it out here: https://autoforecast-prophet.herokuapp.com/ (assuming I have not run out of heroku run time on the free tier!)

You'll be able to import your data from a CSV file, visualize trends and features, analyze forecast performance, and finally download the created forecast 😵

In beta mode

Created by Zach Renwick: https://twitter.com/zachrenwick.

Code available here: https://github.com/zachrenwick/streamlit_forecasting_app

Owner

Zach Renwick

Business Intelligence Developer. I do things and stuff with data.

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This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

Related tags

Overview

📈 Automated Time Series Forecasting

Owner

Zach Renwick

A tool to visualise the results of AlphaFold2 and inspect the quality of structural predictions

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

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