There are 3 repositories under prophet topic.
NeuralProphet: A simple forecasting package
Lightning ⚡️ fast forecasting with statistical and econometric models.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Price calculator/predictor for Turnip prices
Modeltime unlocks time series forecast models and machine learning in one framework
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Amazon SageMaker Local Mode Examples
(陆续更新)重新整理过的基于机器学习的股票价格预测算法,里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测,包含:LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等
CryptoCurrency prediction using machine learning and deep learning
Shiny App that offers an interactive interface to explore the main functions of the [prophet Package](https://cran.r-project.org/package=prophet)
Time Series Forecasting for the M5 Competition
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
Shiny app for Price Optimization using prophet and lme4 libraries for R.
Time Series Analysis project with Prophet.
Applying Facebook's prophet on Google Analytics data
Compendio de conocimiento sobre series temporales, para la predicción de series temporales con todos los métodos tratados en nuestro laboratorio DICITS.
Python notebooks for demonstrating various ideas, APIs, libraries.
bitcoin prediction algorithms
Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.
TSForecasting - Automated Time Series Forecasting Framework
supercollider class to talk to prophet rev2 hardware synthesizer
CentOS based Docker container for Time Series Analysis and Modeling.
LTFS Data Science FinHack 2 organised by AV
100days of ml code
Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary of series. Checked ACF ,PACF plots to identify Moving average and Auto-regressive order of series. Transformed series to make it stationary.
A Repo of Time-series analysis techniques. Holt-Winter methods, ACF/PACF, MA, AR, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA, RNN Keras, Facebook- Prophet etc.
:bar_chart: :bar_chart: Cryptocurrencies Price Forecaster :fire:
A time-series companion package to healthyR
Time-series anomaly detection with Facebook Prophet library
Prophetly Server powered by Tornado and Prophet (PyPI Package)