https://github.com/nellyndj52/breast-cancer-classification-ml
This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).
https://github.com/nellyndj52/breast-cancer-classification-ml
breast-cancer cancer dataset flask-api heroku-deployment lime machine-learning mlp-networks numpy perceptron-neural-networks pickle segmentation support-vector-machines svm
Last synced: 8 months ago
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This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).
- Host: GitHub
- URL: https://github.com/nellyndj52/breast-cancer-classification-ml
- Owner: nellyndj52
- Created: 2025-02-08T01:27:36.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-02-08T02:55:57.000Z (10 months ago)
- Last Synced: 2025-02-08T03:17:59.931Z (10 months ago)
- Topics: breast-cancer, cancer, dataset, flask-api, heroku-deployment, lime, machine-learning, mlp-networks, numpy, perceptron-neural-networks, pickle, segmentation, support-vector-machines, svm
- Size: 1.95 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0