Skip to content

SoleCodr/Detection-of-Breast-Cancer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Breast Cancer Detection

Objectives

Detection of Breast Cancer

Techniques Used

  • Data Cleaning
  • Data Visualization
  • Machine Learning Modeling

Algortihms Used

  1. Logistic Regression
  2. Support Vector Machine
  3. KNN
  4. Naivye Bayes
  5. Random Forest Classifier

Model Evaluation Methods Used

  1. Accuracy Score
  2. Cross Validation
  3. Confusion Matrix

Guide Lines

Packages and Tools Required:

Pandas 
Matplotlib
Seaborn
Scikit Learn
Jupyter Notebook

Package Installation

pip install numpy
pip install pandas
pip install seaborn
pip install scikit-learn
pip install matplotlib

Jupyter Notebook Installation Guide https://jupyter.org/install

About

Classification of Breast Cancer diagnosis Using Support Vector Machines

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published