Breast Cancer Risk and Susceptibility Prediction using Machine Learning

This project uses three different machine learning algorithms to evaluate a dataset from kaggle. The algorithms used include:

1. Logistic regression
2. Random forest
3. Decision tree

Steps carried out in the building of this project:

1. Exploratory data analysis
2. Datatase splitting (Train test set)
3. Model(s) building
4. Model(s) evaluation
5. Model(s) validation

Paper writeup documentation

Google docs

Contributors

edolor https://ng.linkedin.com/in/aghoghomena-akasukpe

Lincense & Copyright

The program is under the Apache 2.0 license. Please Note some third-party frameworks my contain different linceses

Copyright (c) 2021 edolor and GeorginaAwani. All rights reserved