Scientific Research Publishing

Poursheikhali Asgary, M., Jahandideh, S., Abdolmaleki, P. and Kazemnejad, A. (2007) Analysis and Identification of

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
Scientific Research Publishing

Determinants of SMEs’ Access to Microfinance Credit in Lubumbashi: An Analysis Based on Multinomial Logistic Regression ()

1 Faculty of Economics and Management, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo. 2 Faculty of Management Sciences, Nouveaux Horizons University, Lubumbashi, Democratic ...
Hosted on MSN

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 ...
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 ...
eWeek

What is Logistic Regression? A Comprehensive Guide

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
GitHub

multinomial-logistic-regression

I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, ...