GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — GitHub - sbashett/bank-note-authentication: Gaussian Naive Bayes and logistic regression for bank note authentication

BranchesTags
Open more actions menu

Latest commit

 

History

2 Commits
2 Commits

Folders and files

NameName
Last commit message
Last commit date
.gitignore
.gitignore
 
 
README.md
README.md
 
 
data.csv
data.csv
 
 
data_test.csv
data_test.csv
 
 
gnb.py
gnb.py
 
 
graph.py
graph.py
 
 
graph_screenshot.png
graph_screenshot.png
 
 
logistic.py
logistic.py
 
 
samples.csv
samples.csv
 
 
training_data_pos_class.csv
training_data_pos_class.csv
 
 

Repository files navigation

This is an implementation of logistic regression and Gaussian Naive Bayes algorithm for a simple bank note authentication. The dataset can found in this link.

A comparison graph can be generated using the graph.py python script. The gnb.py and logistic.py contains the classes for gaussian naive bayes and logistic regression respectively. The csv files contain the data along with the labels.

About

Gaussian Naive Bayes and logistic regression for bank note authentication

Topics

bank-note-authenticationgaussian-naive-bayeslogistic-regressionmachine-learningpython

Resources

Readme
Activity

Stars

1 star

Watchers

0 watching

Forks

4 forks
Report repository

Releases

Packages

Contributors

Languages

You are visitor 01402520 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.