Using Machine Learning algorithms to distinguish malignant vs benign tumors in digitized images of Fine Needle Aspirates. Algorithms include: Support Vector Machine (SVM), Random Forest Classifier, and Naive Bayes Classifier
Check out the report!
-
Notifications
You must be signed in to change notification settings - Fork 0
Using Machine Learning algorithms to distinguish malignant vs benign tumors in digitized images of Fine Needle Aspirates. Algorithms include: Support Vector Machine (SVM), Random Forest Classifier, and Naive Bayes Classifier
egaskin/ML-Breast-Cancer-Prediction
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Using Machine Learning algorithms to distinguish malignant vs benign tumors in digitized images of Fine Needle Aspirates. Algorithms include: Support Vector Machine (SVM), Random Forest Classifier, and Naive Bayes Classifier
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published