IEEE

Early Detection of Parkinson’s Disease using Wearable Sensor-based Gait analysis with Logistic Regression

Abstract: In recent days, the early detection of Parkinson’s Disease (PD) from essential tremor (ET) is clinically difficult due to overlapping motor symptoms. The traditional models used wearable ...

Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

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

Research on the Enhancement and Improvement of Logistic Regression Models

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 ...
BMJ

Association between the cumulative average triglyceride glucose–body mass index and glycaemic state transitions in adults with pre-diabetes: evidence from the CHARLS cohort

Objectives The role of the triglyceride–glucose body mass index (TyG-BMI) in glycaemic state transitions among individuals with pre-diabetes remains unclear. This study explores the association ...
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Build logistic regression in Python from scratch easily

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 ...