These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

The final, formatted version of the article will be published soon. The escalating frequency of infectious disease outbreaks underscores the urgent need for reliable forecasting systems to support ...

Two WarGames matches and John Cena’s final PLE match are set for WWE Survivor Series: WarGames 2025 at Petco Park in San Diego. An unlikely quintet will enter the unforgiving steel cage when ...

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

1 Chongqing Key Laboratory of Childhood Nutrition and Health, Department of Nephrology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and ...

Abstract: Time series forecasting has important applications across diverse domains. EasyTime, the system we demonstrate, facilitates easy use of time-series forecasting methods by researchers and ...

Abstract: Time series forecasting holds significant application value in financial market analysis, biological prediction, and other domains. Analyzing time series from a network perspective offers ...

Developed during my internship at Tata Motors, this interactive dashboard monitors and analyzes electrical power usage using Dash and Plotly. It offers shift-wise analysis, trend/seasonality detection ...