prophet

NeuralProphet: A simple forecasting package

Time Series Forecasting Best Practices & Examples

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

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Modeltime unlocks time series forecast models and machine learning in one framework

Amazon SageMaker Local Mode Examples

Streamlit app to train, evaluate and optimize a Prophet forecasting model.

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

（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

Shiny App that offers an interactive interface to explore the main functions of the [prophet Package](https://cran.r-project.org/package=prophet)

A simple neural net implementation.

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

Time Series Forecasting for the M5 Competition

Applying Facebook's prophet on Google Analytics data

Python notebooks for demonstrating various ideas, APIs, libraries.

Compendio de conocimiento sobre series temporales, para la predicción de series temporales con todos los métodos tratados en nuestro laboratorio DICITS.

Shiny app for Price Optimization using prophet and lme4 libraries for R.

光伏短期功率预测大赛 代码