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Your Excel regression is probably a mess—here's how Python fixes it

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
Frontiers

Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression

Ischemic Stroke (IS) stands as a leading cause of mortality and disability globally, with an anticipated increase in IS-related fatalities by 2030. Despite therapeutic advancements, many patients ...
Times of Malta

Historical development of generalised linear models

In the early 1970s, statisticians had difficulty in analysing data where the random variation of the errors did not come from the bell-shaped normal distribution. Besides normality, these traditional ...
GitHub

RoBERTa (BERT) vs Logistic Regression

This project will be showcasing the steps to build two different emotion detection NLP models (using RoBERTa and Logistic Regression, as the title suggests). We will also be looking at factors such as ...
IEEE

Python Code Smell Detection Using Machine Learning

Abstract: Python is an increasingly popular programming language used in various software projects and domains. Code smells in Python significantly influences the maintainability, understandability, ...
Frontiers

Interaction Analysis Based on Shapley Values and Extreme Gradient Boosting: A Realistic Simulation and Application to a Large Epidemiological Prospective Study

SHapley Additive exPlanations (SHAP) based on tree-based machine learning methods have been proposed to interpret interactions between exposures in observational studies, but their performance in ...