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 ...

Time series analysis plays a critical role in the decision-making process for an array of industries and domains. Whether it's forecasting stock prices, predicting customer behavior, or analyzing ...

Data Science expert with desire to help companies advance by applying AI for process improvements. Time series data, which consists of data points arranged in chronological order, is vital in diverse ...