Breast Cancer Detection

Introduction

Machine learning is widely recognized as the methodology of choice in Breast Cancer pattern classification and forecast modeling. The early diagnosis of breast cancer can improve the prognosis and chance of survival significantly, as it can promote timely clinical treatment to patients. Further accurate classification of benign tumors can prevent patients undergoing unnecessary treatments. Thus, the correct diagnosis of BC and classification of patients into malignant or benign groups is the subject of much research. Because of its unique advantages in critical features detection from complex cancer datasets, ML is widely recognized as the methodology of choice in breast cancer pattern classification and forecast modeling. Therefore, in this workshop, you'll learn how to detect breast cancer in patients in a supervised classification setting.

Getting Started Checklist

1. Go to our shared Google Drive Folder.

2. Right click on the Breast Cancer Detection folder and then double click on Add shortcut to Drive.

   

3. Go to My Drive and right click on Breast Cancer Detection folder again and then double click on Make a copy. This will be your workspace for the workshop.

   

4. Double click on your copy of the folder and then double click on the notebooks folder.

   

5. Once you are in the notebooks folder, double click on the 01_eda.ipynb notebook file. It should open up in Google Colab. You are now ready to begin this workshop!

   *If you do not have Google Colab installed, please follow the additional steps below

Additional Steps for Installing Google Colab

6. Click on the Open with dropdown menu and double click on + Connect more apps.

   

7. In Google Workspace Marketplace, enter Google Colab in the search and click the install icon under the search results.

   

8. Double click the Install button.

   

9. Once prompted to give your permission to install, double click Continue.

   

10. Choose your Google account.

    

11. In your file explorer, double click the notebooks folder and then doule click on 01-eda.ipynb notebook file.

    

12. Once Google Colab finishes installing, double click on Open with Google Colaboratory. You are now ready to begin this workshop!