multinomial-logistic-regression | Topic

Topic: "multinomial-logistic-regression"

akbloodadarsh/Twitter-Sentimental-Analysis

I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and ROC(Receiver Operating Characteristic) and AUC(Area Under Curve) and finally shown how they are classifying the tweet in positive and negative.

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friendly/nestedLogit

Nested Dichotomy Logistic Regression Models

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kennethleungty/StatsAssume

Automating Assumption Checks for Regression Models (Work in Progress, Currently Paused)

Language: Python - Size: 19.9 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

athowes/multi-agyw

Spatio-temporal estimates of HIV risk group proportions for AGYW across 13 priority countries in sub-Saharan Africa

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KSwaviman/Conjoint-Analysis

This project aims to conduct a random survey design for collecting responses regarding wine preferences of Italian consumers. Furthermore, it attempts to understand how preference share gets affected as we vary different attributes associated with wine with the use of a research method called Conjoint Analysis..

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angelpatriciads/iris-data-multi-logistic-regression

Given a dataset with data on the size of the sepals (petals) and the size of the petals (corolla) of 150 irises consisting of three species, namely Iris setosa, Iris versicolor, and Iris virginica. Petal size will be used as a measure of flower classification using multinomial logistic regression.

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Ashot72/ml5-spfx-extension

ml5 (friendly machine learning for the web) SharePoint Framework (SPFx) extension

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kunaladarsh/Machince-Learning-Using-Python

Language: Jupyter Notebook - Size: 39.6 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

hknd23/idcempy

Inflated Discrete Choice Models

Language: Python - Size: 1.41 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 5

MartaFatto/The-Student-Accommodation-Market

Choice-Based Conjoint Analysis, Multinomial Logit Model, Multinomial Logit Model with random coefficients

Language: R - Size: 11.8 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

T-Obuchi/AcceleratedCVonMLR_python

This Python package enables to efficiently compute leave-one-out cross validation error for multinomial logistic regression with elastic net (L1 and L2) penalty. The computation is based on an analytical approximation, which enables to avoid re-optimization and to reduce much computational time. MATLAB version: https://github.com/T-Obuchi/AcceleratedCVonMLR_matlab

Language: Python - Size: 6.39 MB - Last synced at: about 15 hours ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

osmanmahic/Time-varying-propensity-scores-in-SCMMs

A GEE approach to time-varying treatment effects

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jlmassey1991/Diagnostic-Delays-Propensity-Cost

Assessing impact of delay days of diagnosis on costs

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CarolMoore19/Business-Self-Sanctioning-of-Russia

Bayesian Machine Learning with PYMC3. Data from the Kyiv School of Economics.

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didemch/wine-classif

Finding out whether it is possible to predict the quality of the wine using Random Forests, Neural Networks, Classification trees and other methods

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Kowshik-18/credit_score_engine

Our industrial attachment project involves developing a credit scoring system to determine Upay users' loan eligibility. This system uses machine learning to forecast loan approval using transaction history and customer data. This project aims to provide a reliable credit score system for loan disbursement. It will also inform decision makers about

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ananyaroy1011/Fake-News-Classification

Given the title of a fake news article A and the title of a coming news article B, program classifies B into agree, disagree, and unrelated.

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1adityakadam/Multi-Model-Car-Acceptability-Classification

A Machine Learning Approach for Comparative Analysis of Logistic Regression, SVM, and Random Forest Techniques

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NightFuryAnalytics/multi-text-classification

This study investigates effectiveness of various machine learning models for multi-class text classification of 1500+ Urdu news articles.

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agusrajuthaliyan/Open-Course-Data-Analysis-Project

Every year, students in the 5th semester get to enroll in a open course subject of their choice out of 12 electives. This data analysis project is a study on the trends and behavior's of student choices.

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juliahaas1/STAT-543-Final

Classifying Household Poverty Levels with Multinomial Logistic Regression

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jeffreywijaya100/cancer-patient-and-stock-data-ml

classification and regression predictive model using cancer patient and stock data

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artis-v/BERN02-project

Model that predicts 2019 UK parliamentary election results

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asaravis/Conflict-Events-Health-Facility-Disruption

This code explores predictive composite measures for health facility disruptions in conflict zones based on conflict intensity (measured through repeat conflict events in close proximity) and type of conflict event.

Language: R - Size: 1.14 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

msancor/FDS-HW2

Python project for the Fundamentals of of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is exploring Logistic Regression & Multinomial Regression concepts along with training classifiers using Gradient Descent/Ascent.

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Yiqiu-W/effect-of-political-ideology-on-voting-behavior-ESS

Size: 199 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

MrTejas/ML-Algos

A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.

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Atrij-Paul/Multinomial_Logistic_Regression

Complete details of Multinomial Logistic Regression from scratch . It is optimized to perform the operation in minimum time .

Language: Python - Size: 852 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ArfaKhalid/Multinomial-Logistic-Regression-Model--Covid19-Vaccines-Analysis

This repository contains readme and code for the thesis research project.

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arifasfe/credit-scoring-engine

This repository contains a credit scoring system that leverages machine learning to predict the likelihood of a user receiving a loan. The system includes a user interface where users can upload data files to receive loan decisions, loan probability assessments, and suggested loan amounts for eligible applicant.

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AndrewDisher/multinomial-logistic-regression

An R markdown notebook detailing the necessary steps to fit a multinomial logistic regression model to some sample data.

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JRigh/Machine-Learning-algorithms-for-classification-and-regression-in-R

Machine Learning algorithms (Classification, Clustering, Regression) on Iris dataset in R

Language: R - Size: 445 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

zhihanyang2022/r-bayesian-multinomial-logreg

Bayesian multinomial logistic regression implemented in R with runjags for MCMC.

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saileshacharya1/AV-adoption-interest-puget-data

This is a release of data and analysis scripts of the "Public Interest in Autonomous Vehicle Adoption: Evidence from the 2015, 2017, and 2019 Puget Sound Travel Surveys" paper published in Journal of Transportation Engineering Part A. The paper can be accessed at https://doi.org/10.1061/JTEPBS.0000655. All scripts are written in R.

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MeredithGal/Predictive-Analytics-with-R-Programming

UNCW BAN 502 This course explores methods for model selection, parameter estimation, and validation. Focused on techniques and algorithms from the statistical and machine learning disciplines.

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giulio-derasmo/Bayesian-Analysis-for-Game-Players-Behaviors

A MCMC Bayesian analysis versus Frequentist Analysis of Animal Crossing: New Horizons game players in-game behavior using a Multinomial Logistic Regression Model to adjust the original paper results.

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cmdecesaris/NicotineUsage

Multinomial logistic regression modeling used to determine influential factors in nicotine usage status

Language: R - Size: 1.74 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

yixlu/Cardiotocographic-Monitoring-and-Classification-of-Fetal-Outcome

Modeling the relationship between fetal heart rate signals and fetal outcome using multinomial logistic regression

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NicoLopVal/Multin-Log-Reg-R

This was the code I use to process a Multinomial Logistic Regression on R, with the Apollo Choice Modeling Package for R. Used to calculate the utility function of particular customers of vehicles in Bogotá, Colombia

Language: R - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

victoriaporter58/Machine-learning-techniques-for-recognising-handwritten-digits

This project encompasses a range of neural and non-neural model implementations to classifiy MNIST digits. The goal is to compare the performance of each technique including details of hyper-parameters, training ans testing errors, training and testing duration and additional parameters used in the analysis.

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T-Obuchi/AcceleratedCVonMLR_matlab

This MATLAB package enables to efficiently compute leave-one-out cross validation error for multinomial logistic regression with elastic net (L1 and L2) penalty. The computation is based on an analytical approximation, which enables to avoid re-optimization and to reduce much computational time. Python version: https://github.com/T-Obuchi/AcceleratedCVonMLR_python

Language: MATLAB - Size: 34.2 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

Topic: "multinomial-logistic-regression"

ChrisScarred/pokemon-classifiers 📦