fbprophet

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

python flask neural-networks stock-price-prediction final-year-project yahoo-finance fbprophet series-forecasting stock-market-prediction predict-stock-prices forecasting-model

UpdatedOct 18, 2023
Jupyter Notebook

carlomazzaferro /scikit-hts

Star224

Hierarchical Time Series Forecasting with a familiar API

machine-learning time-series scikit-learn hierarchical-data statsmodels time-series-analysis fbprophet exponential-smoothing

UpdatedMay 12, 2023
Python

nabeel-oz /qlik-py-tools

Star187

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

python data-science machine-learning deep-learning analytics clustering scikit-learn sklearn keras forecasting predictive-analytics qlik-sense qlik fbprophet advanced-analytics hdbscan server-side-extension advanced-analytics-integration facebook-prophet qlik-oss

UpdatedFeb 10, 2021
Python

heidelbergcement /hcrystalball

Star151

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

wrapper data-science time-series sklearn cross-validation transformer model-selection statsmodels sklearn-compatible fbprophet sarimax time-series-forecasting sklearn-library sklearn-api pmdarima sktime tbats

UpdatedFeb 21, 2024
Python

ajitsingh98 /Time-Series-Analysis-and-Forecasting-with-Python

Star149

Time Series Analysis and Forecasting in Python

numpy machine-learning-algorithms pandas stats python-3 statsmodels lstm-neural-networks time-series-analysis fbprophet sarimax moving-average stats-api arima-model multivariate-timeseries time-series-forecasting arima-forecasting holt-winters-forecasting prophet-facebook univariate-timeseries deep-learning-for-time-series

UpdatedJul 17, 2024
Jupyter Notebook

zachrenwick /streamlit_forecasting_app

Star66

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

python machine-learning time-series forecasting forecasting-models fbprophet forecasting-model streamlit-dashboard steamlit

UpdatedJan 12, 2024
Python

testdrivenio /fastapi-ml

Star50

deploying an ML model to Heroku with FastAPI

machine-learning heroku-deployment fbprophet fastapi fastapi-docker

UpdatedApr 17, 2024
Python

Sparxxz /Flood-Rainfall-Disaster-Prediction-Website

Star49

Advance warning system for flood with rainfall analysis

python flask website machine-learning flask-backend disaster-management fbprophet rainfall-prediction flood-predictions disaster-relief

UpdatedAug 3, 2019
Jupyter Notebook

sowmyagowri /Stock-Price-Prediction

Star36

A group project for CMPE272 at SJSU

stock-price-prediction fbprophet

UpdatedApr 7, 2018
JavaScript

AniketP04 /Stock_Price_Prediction

Star27

In this project two models are build a Multivariate CNN-LSTM model using keras and tensorflow, ARIMA model, and FbProphet. In multivariate CNN-LSTM five feature are given as a input to the model and output as Closing price. Forecasted for the next 30 days. the dataset has been collected from Yahoo finance.

time-series cnn lstm fbprophet arima-model

UpdatedAug 29, 2023
Jupyter Notebook

gulabpatel /TimeSeries

Star17

Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots

timeseries time-series lstm darts arima prophet multivariate-analysis fbprophet sarimax moving-average granger-causality sarima kats holtwinters deepar autots autoarima multiple-time-series

UpdatedMar 9, 2024
Jupyter Notebook

rafapi /fastapi-prophet

Star15

Stock Market predictions with Prophet and FastAPI

python docker async fbprophet fastapi

UpdatedDec 22, 2021
Python

AjayKumar1994 /Stock-Price-Prediction-LSTM-FBProphet-ARIMA

Star13

This project seeks to utilize the Deep Learning model, Long-Short Term Memory (LSTM) Neural Network algorithm, Time Series Models, ARIMA and FBProphet to predict stock prices.

numpy sklearn pandas lstm-model matplotlib fbprophet arima-model

UpdatedAug 23, 2020
Jupyter Notebook

ganprad /rentorbuy

Star12

A Project that uses Zillow research data on Quandl, Prophet for time series forecasting, Altair for vega-lite charts and Folium for an creating interactive map.

real-estate time-series anaconda numpy openstreetmap zillow pandas vega-lite chicago quandl folium prophet altair geopy fbprophet