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.

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

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

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

Deep Neural Network from scratch. Wisconsin Breast Cancer dataset.

A comparative machine learning study classifying breast tumors as malignant or benign using six algorithms on the Wisconsin Breast Cancer dataset.

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