ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
This project focuses on predicting house prices using the Ames Housing dataset. It demonstrates an end-to-end Machine Learning workflow including preprocessing, feature engineering, model training,… ...
Abstract: This paper presents a gender classification model based on face features using logistic regression and K-Nearest Neighbors (KNN) classifier. The dataset contained long hair, forehead breadth ...
This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...
Network automation firm Network to Code has launched NautobotGPT, an AI-powered assistant aimed at helping enterprise network engineers create, test, and troubleshoot automation tasks more efficiently ...
During a discussion at the recent KubeCon + Cloud Native Computing Foundation (CNCF) Europe 2025 event in London, panel members discussed one of the big criticisms of modern software development: why ...
ABSTRACT: Cybersecurity challenges in consumer banking websites have surged, driven by increasingly sophisticated threats such as fraud, phishing, and Distributed Denial of Service (DDoS) attacks.
Codegen: A Python library for manipulating code bases Codegen lets you write Python code that treats other codebases as trees of objects, not text, making refactoring and other major code revisions ...
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