Current Python alternatives for statistical models are slow, inaccurate and don't scale well. So we created a library that can be used to forecast in production environments or as benchmarks.

The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model ...

Exponential smoothing and moving average are key techniques for time series forecasting. Exponential smoothing assigns exponentially decreasing weights to observations over time. Moving average ...