Randomized and Quasi-Randomized 'neural' networks for supervised learning and multivariate time series forecasting

An infinity of ML-based time series forecasting models with uncertainty quantification

Univariate and multivariate time series forecasting with uncertainty quantification in Python

Bug fixing using ChatGPT

Randomized and quasi-randomized 'neural' networks for supervised learning

High level Python & R functions for interacting with Techtonique forecasting API

A Forecasting API, with examples

Prediction intervals for Machine Learning, using conformal prediction in Python package the-teller

An ML workflow using Techtonique, from querying data to explaining the chosen model