Analyzing the wisconsin breast cancer dataset using ml algorithms
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Updated
Jul 5, 2023 - Jupyter Notebook
Analyzing the wisconsin breast cancer dataset using ml algorithms
Demonstrating the use of explainable methods by interpreting the decisions of several neural network models.
In this project, the Wisconsin breast cancer dataset is visualized in two dimensions using Principal Component Analysis (PCA).
Deep Neural Network from scratch. Wisconsin Breast Cancer dataset.
This project used machine learning models to detect cancer in biopsies with an accuracy of 98%
Explore the application of AdaBoost utilizing the Wisconsin breast cancer dataset.
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