Analyzing the wisconsin breast cancer dataset using ml algorithms

Wisconsin Breast Cancer Prediction through Decision Tree along with exploratory diagnostics

Demonstrating the use of explainable methods by interpreting the decisions of several neural network models.

Machine learning model, trained to recognize if a tumor is malignant or benign

Explore the application of AdaBoost utilizing the Wisconsin breast cancer dataset.

Deep Neural Network from scratch. Wisconsin Breast Cancer dataset.

In this project, the Wisconsin breast cancer dataset is visualized in two dimensions using Principal Component Analysis (PCA).

Classify breast cancer using machine learning models and analyze feature importance.

This project used machine learning models to detect cancer in biopsies with an accuracy of 98%