Lightning ⚡️ fast forecasting with statistical and econometric models.

NeuralProphet: A simple forecasting package

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. Created by Ram Seshadri. Collaborators welcome.

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

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

（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

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

Amazon SageMaker Local Mode Examples

CryptoCurrency prediction using machine learning and deep learning

Material for the course "Time series analysis with Python"

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

A simple neural net implementation.

A multiverse of Prophet models for timeseries

光伏短期功率预测大赛 代码

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.