Skip to content

Machine learning project to classify human retina images for stage of diabetic retinopathy.

Notifications You must be signed in to change notification settings

giorosati/dsc-4-final-project-online-ds-pt-100118

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

30 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Module 4 Final Project

This repo is for my Flatiron Data Science program, this being the machine learning project. I developed this notebook to enter the Kaggle competition in August 2019 titled "APTOS 2019 Blindness Detection".

The source data can be obtained at Kaggle: https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/105100#latest-608737

Jupyter notebook: student_v3.ipynb

This Jupyter notebook utilizes Keras packages to create a convolutional neural network that classifies fundus images of retinas into the 5 classes of diabetic retinopathy.

About

Machine learning project to classify human retina images for stage of diabetic retinopathy.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages

  • Jupyter Notebook 100.0%