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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 ...
Frontiers

Prediction of myopia onset and shift in premyopic school-aged children: a machine learning-based algorithm

Department of Ophthalmology, The Second Affiliated Hospital of Dalian Medical University, Dalian, China Purpose: This study aimed to investigate longitudinal changes in ocular parameters and develop a ...
ahajournals.org

Abstract 4366027: Hypertension Diagnosis Correlates with Psychological Distress Symptoms, Marital Status, and Insurance Status

These were split into categories and their correlation with hypertension in this cohort was assessed using multivariate logistic regression. Python with libraries Numpy, Pandas, Scipy, Statsmodels, ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Scientific Research Publishing

Hosmer, D.W., Lemeshow, S. and Sturdivant, R.X. (2013) Applied Logistic Regression. 3rd Edition, Wiley.

ABSTRACT: Earned Value Management (EVM) has emerged as an effective project monitoring and control method while the construction industry has lagged other industries, such as defense and aerospace, in ...
Frontiers

Multifactorial drivers of engagement in sex work among Ethiopian women: a multinomial logistic regression approach

Department of HIV and Tuberculosis Research, Ethiopian Public Health Institute, Addis Ababa, Ethiopia Background: Understanding the multifactorial drivers of female sex workers' (FSWs) engagement in ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...