Learn how to predict Breast Cancer using Machine Learning | Open Source Project

Artificial Intelligence is empowering modern medical science to help treat critical ailments. Incorporating AI into breast cancer screening allows radiologists to detect cancer more accurately while dramatically reducing their workloads. Using this application you can do early stage detection for breast cancer and help in identifying it as malignant (cancerous) or benign(non-cancerous). You can build predictive analytic based applications with this ready to deploy template application. Fully modifiable source code is provided to enable you to modify for your requirements.

Learning Objectives

After completing this course you will:

  • Have a good working knowledge of the Fundamentals of Predictive Analysis.
  • Learn various concepts involved in building the Breast Cancer Prediction Engine such as Exploratory Data Analysis, and Support Vector Classification.
  • Have a fully functional prototype that you can customize, showcase, share, using the existing source code.
  • Be able to train the model on your custom dataset and fine tune the model to enhance its performance.

Complete this course in 3 easy steps to earn your certificate!

STEP 1 : Watch the below self-guided tutorial.
STEP 2 : Practice as you watch the video by installing and working with the kandi 1-click solution kit.
STEP 3 : Complete the assessment to receive your certificate.


STEP 1 : TUTORIAL

Watch this self-guided tutorial on how you can use Dataset to train the model, Exploratory Data Analysis, and Vector Classification to build your own AI Powered Breast Cancer Detection Engine.


STEP 2 : PRACTICAL EXERCISE

Click the below button to access the breast cancer detector kandi kit. This kit has all the required dependencies and resources you need to build your application.

kandi 1click kits include Python, Jupyter notebook and helps you learn to apply & compare different machine learning algorithms to build your own Breast Cancer Prediction Model, check out the model’s performance using different metrics like accuracy, precision, recall, and confusion matrix and use scikit-learn framework to work with toy datasets and also how to tune model parameters.

Click on the 1-Click Installer button on the kandi kit page to install the breast cancer detector kit. On installing and running this kit, you will have a working model that you can customize and use in your project.

kandi 1click kit button

After completing this step, proceed to STEP 3.


STEP 3 : ASSESSMENT

Complete a short assessment and earn your certificate now. Congrats
TakeAssessment

Your assessment will be reviewed and you will receive a verified certificate via email within a week.


SUPPORT

Reach out to us by replying below for any help you may need with this course.

We hope you enjoyed using kandi! Continue your learning journey with kandi Congrats

MicrosoftTeams-image (55) Movie Recommendation System Student Grades Predictor

1 Like

Hello, Im having problems running the kandi zip file. It states that theres no python detected, error installing python, and error opening archive

@rvincent430, please unzip the file before installing the batch file.

1 Like

I tried unzipping but didn’t workout

I tried running the code the second time without changing anything yet but it fails to do so. “No module name ‘sklearn’”

@rvincent430, try running “!pip install sklearn” in a cell of jupyter notebook

“requirement already satisfied”