Files added to the breast cancer branch

[atorossian]

Description

First version of a machine learning algorithm to classify between malignant and benign cancer types through physical characteristics of the tumor samples in the datasets. This version of the algorithm contains clustering and decision tree classification models.

Objective

Predict and classify between two types of breast cancer (benign and malignant) based on the information provided by the dataset

Files added

The dataset provided contains physical information about the samples appended that describe the different types of cancer. each sample has the class that is malignant or benign. The dataset has been uploaded under the name breast-cancer-wisconsin.data.txt

For more about the dataset, please check the breast-cancer-wisconsin.names.txt file which contains background information to add for further understanding.

The algorithm has been developed entirely in pyton to commit a first approach to the solution of the problem that is considered under the objective title. The code has been submited under the name BREAST_CANCER.ipynb.

Checklist

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• Any dependent changes have been merged and published in downstream modules