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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

Jupyter Notebook 100.00%
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

Hi ๐Ÿ‘‹, I'm Muhammad Sakib Khan Inan

Ph.D. Candidate (Applied Machine Learning)

Intro:

  • ๐ŸŒฑ Iโ€™m currently learning Advanced Deep Learning & Advanced Machine Learning

  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on Applied Machine Learning & Applied Deep Learning

  • ๐Ÿ“ I regularly write articles on skinan.medium.com

  • ๐Ÿ’ฌ Ask me about Machine Learning

  • ๐Ÿ“ซ How to reach me [email protected]

  • โšก Fun fact I am a Philosopher

Connect with me:

skinan sakibinan skinan @skinan techlearnersinc sakib_khan_inan

Languages and Tools:

cplusplus flask git illustrator linux mysql opencv pandas python pytorch qt redis scikit_learn seaborn sqlite tensorflow

Support:

sakibkhaninan



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