Inspiration
It’s amazing to be able to possibly help save lives just by using data, python, and machine learning.
What it does
Get a count of the number of patients with Malignant (M) cancerous and Benign (B) non-cancerous cells , this can b taken from the 'diagnosis' column.
How I built it
The program will run on google colab , so google.colab library must be imported and the data should be loaded to it from the .csv file.
Challenges I ran into
Finding correct dataset.
What we learned
Many Ml and python libraries.
What's next for Breast Cancer Detection using ML
To book an appointment through app.
Log in or sign up for Devpost to join the conversation.