ML: Diagnose the presence of Breast Cancer with Python

Overview

Class Central Tips

In this 1-hour long project-based course, you will learn how to set up and run your Jupyter Notebook, load, preview and visualize data, then train, test and evaluate a machine learning model that predicts if a patient has breast cancer or not.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Syllabus

Project Overview

By the end of this project, you will have built a machine learning classifier based on Python using Jupyter notebooks which can predict whether a patient has a cancerous tumor or not based on features identified from cell nuclei. You will learn about how to load the data for the project, visualize it and explore it. Then you will train different models and test their accuracies on test dataset.