Breast Cancer Classifier (Deep Learning) 🔬

This code helps you classify malignant and benign tumors using Deep Learning.

Code Requirements 🦄

You can install Conda for python which resolves all the dependencies for machine learning.

Description 🧪

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised.

Deep learning models are loosely related to information processing and communication patterns in a biological nervous system, such as neural coding that attempts to define a relationship between various stimuli and associated neuronal responses in the brain.

Python Implementation 👨‍🔬

1. Dataset- UCI-ML
2. I have used 30 features to classify
3. Instead of 0=benign and 1=malignant, I have used 1=benign and 2=malignant

Results 📊

Execution 🐉

To run the code, type python B_Cancer_DL.py

python B_Cancer_DL.py