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This project is a part of research on Breast Cancer Diagnosis with Machine Learning algorithm using data-driven approaches. The final outcomes of the research were later published at an IEEE Conference and added to IEEE Xplore Digital Library.

Home Page: https://ieeexplore.ieee.org/abstract/document/9376007

License: MIT License

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machine-learning knn-algorithm svm-classifier breast-cancer-wisconsin breastcancer-classification xgboost xgboost-python probabilistic-models gradient-boosting robust-scaling

breast-cancer-diagnosis-using-probabilistic-ensemble-based-machine-learning-algorithms's Introduction

Breast Cancer Diagnosis Using Probabilistic Ensemble Based Machine Learning Algorithms

This is project is a part of a research on Breast Cancer Diagnosis with Machine Learning algorithm using data driven approaches. The final outcomes of the research was later published on an IEEE Conference and added to IEEE Xplore Digital Library.

Related Research Article

M. S. K. Inan, R. Hasan and F. I. Alam, "A Hybrid Probabilistic Ensemble based Extreme Gradient Boosting Approach For Breast Cancer Diagnosis," 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), 2021, pp. 1029-1035, doi: 10.1109/CCWC51732.2021.9376007.

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Rizwan Hasan

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