Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.

Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference

Blog about time series data mining in R.

Web de divulgación con material formativo sobre estadística, algoritmos de machine learning, ciencia de datos y programación en R y Python.

Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.

Morgan Ernest & Ethan White's Ecological Forecasting & Dynamics Course

Computational simulation framework for analyzing trading behavior in climate prediction markets

Data-driven COVID-19 forecasts and detection of unreported cases

Personal website

SEIR+ model

Univariate timeseries forecasting in the browser (ARIMA)

Forecasting Covid-19 in the US

A 4 day course on Time Series Data Analysis using R

Materials for a 3 hour workshop on tidy forecasting for useR! 2024

Forecasting the share of electric vehicles on the market

Get weather forecast report of ay place using API

The software includes a dynamic bayesian network with genetic feature space selection, includes 5 econometric data.frames with 263 time series.

This is the website repository for the Stata packages lassopack & pdslasso. Please visit:

The increasing demand for energy is one of the biggest reasons behind the integration of solar energy into the electric grids or networks. To ensure the efficient use of energy PV systems it becomes important to forecast information reliably. The accurate prediction of solar power variation can enhance the quality of service. This integration of…