Project
Machine Learning Web Application for Breast Cancer Prediction
Predicts if a cancer cell is benign or malignant with 97% accuracy.
Developed a web application that uses machine learning algorithm to predict if a cancer cell is benign or malignant with 97% accuracy on the test data using Python and scikit-learn. Deployed the model via a web interface using Streamlit libraries.
(Machine Learning Methods Used: Logistic Regression, Random Forest, Naive Bayes, K-Nearest Neighbors, XGBoost, Decision Tree.)
- Python
- Streamlit.