Topic: "logistic-regression-models"
kennethleungty/Logistic-Regression-Assumptions
Assumptions of Logistic Regression, Clearly Explained
Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 30 - Forks: 7

kbasu2016/Autism-Detection-in-Adults
This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.
Language: Jupyter Notebook - Size: 3.01 MB - Last synced at: 13 days ago - Pushed at: about 7 years ago - Stars: 26 - Forks: 21

rsquaredacademy/blorr
Tools for developing binary logistic regression models
Language: R - Size: 81 MB - Last synced at: 22 days ago - Pushed at: 8 months ago - Stars: 16 - Forks: 3

vaibhav-sing-bisht/Election-Exit-Poll-Prediction-and-U.S.A-Presidential-Speech-Analysis-using
Course Machine Learning This project is based on 2 case-studies: Vote Prediction and Text Analysis. The first project is to predict which party a citizen is going to vote for on the basis of their age and according to the answers given by the citizens to the questions asked in a survey conducted. The second project is based on the analysis of the inaugural U.S.A. Presidential speeches. One has to draw inferences based on the analysis done on these speeches. Skills and Tools Text Mining Analytics, Support Vector Machine - K Nearest Neighbour - Naive Bayes, Ensemble Techniques, Logistic Regression - Linear Discriminant Analysis
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SherryKennedy/Credit_Risk_Evaluation_Supervised_Learning
Supervised Machine Learning to predict Credit Risk. Review of Logistic Regression and Random Forest Classifier with and without scaling.
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veeveetran/tech-mental-health
Building a binary classification model to determine whether or not an employee in the tech industry chooses to seek treatment for a mental health condition
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Yiqiu-W/2012-Obama-Voters-Participants-of-the-General-Social-Survey-GSS
Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MauroCE/LogisticRegression
Base R Implementation of Logistic Regression from Scratch with Regularization, Laplace Approximation and more
Language: R - Size: 23.4 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
