DV
dvamsidhar2002/CodeClauseInternship_Breast_Cancer_Classification
This is my third project as one of my tasks as a data science intern at CodeClause.
Breast-Cancer-Classifier
This is a Breast Cancer Classifier using Machine Learning.
Link to the web app :
There are two types of tumours detected in human body :
BENIGN TUMOUR
- Non - Cancerous
- Capsulated
- Non - invasive
- Slow growing
- Do not spread to other parts of the body
- Cells are normal
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]