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Breast-Cancer-Classifier

This is a Breast Cancer Classifier using Machine Learning.

Type IDE Type Status

Link to the web app :

There are two types of tumours detected in human body :

Benign tumour

BENIGN TUMOUR

  • Non - Cancerous
  • Capsulated
  • Non - invasive
  • Slow growing
  • Do not spread to other parts of the body
  • Cells are normal

Malignant tumour

MALIGNANT TUMOUR

  • Cancerous
  • Non-Capsulated
  • Invasive
  • Fast growing
  • Spread to other parts of the body
  • Cells are abnormal

WORKFLOW OF THE PROJECT 

flowchart TD

A[Step 0 : Collect Data] --> B[Step 1 : Import Libraries/Modules in the workspace]
B[Step 1 : Import Libraries/Modules in the workspace] --> C[Step 2 : Import the collected data into the workspace]
C[Step 2 : Import the collected data into the workspace] --> D[Step 3 : Data Preprocessing]
D[Step 3 : Data Preprocessing] --> E[Step 4 : Perform EDA by visualizing the data]
E[Step 4 : Perform EDA by visualizing the data] --> F[Step 5 : Train ML model using LOGISTIC REGRESSION]
F[Step 5 : Train ML model using LOGISTIC REGRESSION] --> G[Step 6 : Deploy ML model as a Web App]
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