Lightning ⚡️ fast forecasting with statistical and econometric models.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Hierarchical Time Series Forecasting with a familiar API

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

The set of functions used for time series analysis and in forecasting.

Notebooks for the course "Time series analysis with Python"

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

Real-time time series prediction library with standalone server

Forecasting Monthly Sales of French Champagne - Perrin Freres

Forecasting Time Series with Moving Average and Exponential Smoothing

Exponential Smoothing, SARIMA, Facebook Prophet

Theta methods for time series forcasting

Borealis AI mentored water consumption prediction machine learning web application!

Holt-Winters exponential smoothing implemented in Go.

Brazilian PIB (GDP) time series analysis.

Time Series forecasting model for predicting the unit’s movement of the inventory in the warehouses and stores in order to do capacity planning and prepare for peak volume at the granularity level of week/channel/location.

Time Series Analysis and Forecast System