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

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Python Physics: Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

Note: The current code defaults to using EAGLE-3. If you want to use EAGLE weights, please specify use_eagle3=False in EaModel.from_pretrained. Note: When Qwen2 is the target model, please use bf16 ...

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...

Abstract: This paper examines customers’ online shopping behavior and its relationship to purchase decisions. There are two research questions for the paper: 1) How can marketers segment prior ...