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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 ...
Scientific Research Publishing

Miyazaki, Y., Kawakami, M., Kondo, K., Hirabe, A., Kamimoto, T., Akimoto, T., et al. (2024) Logistic Regression Analysis and Machine Learning for Predicting Post-Stroke Gait ...

ABSTRACT: Postoperative nausea and vomiting (PONV) is a common complication after anesthesia and surgery. Traditional predictive models, such as Apfel scores, rely on linear assumptions and limited ...
Frontiers

Development of an interpretable machine learning model for predicting sarcopenia in patients undergoing maintenance hemodialysis

1 Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China 2 Department of Nephrology, Guangyuan Central Hospital, Guangyuan, China Background: ...
IEEE

Machine Learning-Based Logistic Regression with Hybrid Loss Function for Enhanced Spectrum Sensing

Abstract: In the field of radio technology, the scarcity of spectrum resources has become increasingly severe, while demands for higher accuracy and speed in spectrum sensing technologies continue to ...
TheServerSide

GCP Professional ML Engineer Certification Exam Dump and Braindump

Community driven content discussing all aspects of software development from DevOps to design patterns. Despite the title of this article, this is not a Professional GCP Machine Learning Engineer ...
Frontiers

Factors associated with the presence of anxiety and depression symptoms in rural hypertensive adults in Bangladesh: leveraging extreme gradient booster machine learning algorithm

Introduction: Anxiety and depression are common among hypertensive patients and can lead to significant health complications. This study aimed to use Extreme Gradient Boosting (XGB) machine learning ...
GitHub

glm-python

Developed an end-to-end customer churn prediction ML pipeline using Python, pandas, and scikit-learn. Implemented and trained a logistic regression model, then deployed it as a REST API service using ...
IEEE

Secure and Efficient Logistic Regression With Secret-Sharing MPC and Differential Privacy

Abstract: Machine learning models are being increasingly deployed in sensitive applications where data privacy and model security are of paramount importance. This paper introduces a novel ...
Scientific Research Publishing

Harrell, Jr. (2015) Regression Modeling Strategies with Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. 2nd Edition, Springer.

ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...