Creation and Deployment of a Breast Cancer Prediction Model
- About Project
- Project Deployment
- Dataset Information
- Languages Used
- Other Resources
- Other Information
Machine Learning Project to predict Breast Cancer
Dataset Analysis.
Model creation.
Model deployment.
The dataset is comprised of mutliple features which are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. The features describe characteristics of the cell nuclei present in the image. UCI. The dataset contains information about whether those cells were benign or malignant.
- Taken from: sklearn.datasets.
- Dataset also located on: UCI.
- Dua, D. and Graff, C. (2019). , CA: University of California, School of Information and Computer Science. UCI Machine Learning Repository Irvine.
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Python
-- Data Analysis.
-- Model Creation.
-- Part of Model Deployment. -
HTML
-- Website - Front End for model deployment.
- Flask
- Gunicorn
- Heroku
- Based on Vaibhav Hariramani's Project
- Vaibhav Hariramani's Github Page