https://github.com/lhcee3/bc-classification

Breast Cancer classification done using both Machine Learning and Deep Learning.
https://github.com/lhcee3/bc-classification

breast-cancer breast-cancer-classification deep-learning machine-learning neural-networks sckit-learn tensorflow

Last synced: 3 months ago
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Breast Cancer classification done using both Machine Learning and Deep Learning.

• Host: GitHub
• URL: https://github.com/lhcee3/bc-classification
• Owner: lhcee3
• Created: 2024-08-01T04:14:37.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-02T15:37:28.000Z (almost 2 years ago)
• Last Synced: 2025-10-23T17:25:27.002Z (8 months ago)
• Topics: breast-cancer, breast-cancer-classification, deep-learning, machine-learning, neural-networks, sckit-learn, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 128 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# This is a Breast Cancer Classification model.(BC-Classification)

### It is used to classify the cancer as Malignat or Benign which are the two tumor cases in which we can decide whether it is cancerous or not.

## The classification has been done using both machine learning and deep learning models.

### For Machine Learning, I have used the logistic Regression model and a Neural network for Deep Learning. Both have achieved a great accuracy score.

#### Note that the data set for both the models is same.