breast-cancer-detection

This is a small project to test custom algorithms on the dataset for breast cancer. In this repository you will find necessary information to get you going with these 3 classifcation algorithms (Logistic Regression, Decision Tree, and Random Forest)

Dataset

This is Wisconsin Dataset for breast cancer but you will find it inside the root folder of this project.

Install

Install Jupyter Notebook
Supported Python version
     - Python version used in this project: 3.5+

Libraries used

Pandas 0.18.0 Numpy 1.10.4 Matplotlib 1.5.1 Scikit-learn 0.17.1 Seaborn

Code

Each algorithm tested (or version of it) has its own separate .ipynb file. Each file has its name to tell you what algorithm is used.

Run

To run this project you will need some software, like Anaconda, which provides support for running .ipynb files (Jupyter Notebook).