prophetverse

Python code for "Probabilistic Machine learning" book by Kevin Murphy

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.

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

Fully and Partially Bayesian Neural Nets

Bayesian Learning and Neural Networks (jupyter book sources)

光伏短期功率预测大赛 代码

Time Series Forecasting for the M5 Competition

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

Applying Facebook's prophet on Google Analytics data

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.