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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

Deb, P. and Trivedi, P.K. (2006) Maximum Simulated Likelihood Estimation of a Negative Binomial Regression Model with Multinomial Endogenous Treatment. The Stata Journal ...

ABSTRACT: This study examined the effects of using digital platforms, specifically Viazisoko and Mzizi apps, on Irish potato productivity among smallholder farmers in Molo and Njoro sub-counties, ...
GitHub

Multinomial logistic intercepts applied on incorrect scale

It appears the multinomial logistic objective is calculating a base score in the scale of the reponse variable (probabilities) and applying it as-is instead of transforming it to the 'margin' scale.
GitHub

SarahRoWo/Logistic_Regression_Python_MI_Paper

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 ...
Scientific Research Publishing

Musa, K.I., Mansor, W.N.A.W. and Hanis, T.M. (2023) Multinomial Logistic Regression. In: Musa, K.I., Wan Mansor, W.N.A. and Hanis, T.M., Eds., Data Analysis in Medicine and ...

ABSTRACT: Burundi faces alarming food insecurity, affecting 41.2% of the population, with a prevalence of malnutrition reaching 55.9%. Micronutrient deficiencies, particularly iron and zinc, affect ...
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 ...