🫀 A machine learning project using logistic regression to predict heart disease risk from clinical data. Built with Python, scikit-learn, and Jupyter notebooks. Achieves 85%+ accuracy on 303-patient ...
Dataset overview : An Exploratory Data Analysis (EDA) project using the Logistic Regression algorithm on the Adult dataset typically focuses on predicting whether an individual earns above or below ...
Abstract: The objective of the work is Car Loan Forecasting Using an Extreme Logistic Regression algorithm with novel credal sets and K-Nearest Neighbors algorithm. Machine Learning Techniques is an ...
Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...
Objective: To develop and evaluate the effectiveness of multimodal machine learning approach for the differentiation of NTM from MTB. Methods: The clinical data and CT images of 175 patients were ...
In the rock-paper-scissors game of life, nature beats nurture, and here’s the proof: A hook-up in Spain between geeks and the military has begot an algorithm for troops’ battlefield maneuvers based on ...
ABSTRACT: Digital image encryption based on Joseph circle and Chaotic system has become a hot spot in the research of image encryption. An encryption algorithm based on improved Josephus loop and ...
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