The purpose of this project is to build a predictive model that can classify a tumor as benign or malignant based in the characteristics of the cell nuclei obtained of the digitized image of a FNA (Fine Needle Aspiration Biopsy) of a breast mass. The data used for the project is available on [https://www.kaggle.com/uciml/breast-cancer-wisconsin-data]

This folder contains the work for the Breast Cancer prediction project.

1. Docs
   • Final Report
     Report containing data wrangling, exploratory data analysis, and machine learning explanation for the project
   • Presentation
     Powerpoint Presentation containing complete summary and findings for the project.
2. Notebook
   The notebook below contain the data wrangling, EDA and ML code used for this project.
   • Data Wrangling, EDA, Modeling