NeuralProphet: A simple forecasting package
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Updated
Jun 28, 2024 - Python
NeuralProphet: A simple forecasting package
Lightning ⚡️ fast forecasting with statistical and econometric models.
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
Hierarchical Time Series Forecasting with a familiar API
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
deploying an ML model to Heroku with FastAPI
Plots stock prediction using fb-prophet with data from alphavantage
A Demo for RedisGears function that uses fbprophet for timeseries prediction
Streamlit Web App for Stock Price Prediction
Do Stocks / Markets price prediction on the time series prediction model
CryptoViewer is platform for quick and effective analysis of the crypto market.
Stock analyzing program with live data coming from Yahoo finance. I also use fbprophet to predict upcoming prices.
Simple stock prediction application to demonstrate prediction using fbprophet and integrating dcc and http requests.
Stock Price Prediction predicts the stock price for next 5 years, data is fetched from Yahoo finance. The webapp uses Facebook Prophet model which has an MAPE of 10%.
Experiment tracking for Prophet. 🧩 Log, organize, visualize and compare model parameters, forecasts, and more.
This is a web application that allows users to select a cryptocurrency, select a machine learning model, and pull historical data to predict its future price.
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