Website Link: https://breast-cancer-123.herokuapp.com/
This is the (Dataset)[https://drive.google.com/file/d/1cwxAcAnf8UqRdrfE6bcNIVvz_wJsqaWQ/view?usp=sharing]
###Breast cancer is a malignant tumor that grows in or around the breast tissue, mainly in the milk ducts and glands. A tumor usually starts as a lump or calcium deposit that develops as a result of abnormal cell growth. It’s important to understand that most breast lumps are benign and not cancer (malignant).
Malingnat-->0 && Benign-->1 for computation
Answer is Yess!!! This is a project on predicting whether a person has a benign or malingnat tumor in breast_cancer_sklearn_dataset using Machine learning Algorithm.This project is tested over lot of ml models. Out of these models Logistic Regression performed very well giving an 91% Score. . To increase Accuracy of algotithm, I have done hyperparameter tuning using GridSearchCV modeule and get score of 94%.
- UI/UX: Streamlit
- IDE: Jupyter notebook, VsCode
- Deployment: Heroku
- First create a virtual environment by using this command:
- conda create -n myenv python=3.6
- Activate the environment using the below command:
- conda activate myenv
- Then install all the packages by using the following command
- pip install -r requirements.txt
- Now for the final step. Run the app
- streamlit run app.py
