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Showing posts with the label Supervised ML/AI

Python Use-Case Supervised ML/AI in Breast Cancer (BC) Classification

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  https://www.canva.com/design/DAE7oU6O6QQ/share/preview?token=xH-OB2oXeQSrennmqMC2hw&role=EDITOR&utm_content=DAE7oU6O6QQ&utm_campaign=designshare&utm_medium=link&utm_source=sharebutton Acknowledgements with the ML/AI contribution https:// hiscidatmlai.blogspot.com/2022/02/digita l-transformation-all-way.html … and @VismeApp #Graphics via ref https:// visme.co/?ref=al24 Thanks to Mugdha Paithankar [1] and https:// kaggle.com/uciml/breast-c ancer-wisconsin-data … [2] for the shared open-source content! Introduction Breast Cancer (BC) continues to be the most frequent cancer in females, affecting about one in 8 women and causing the highest number of cancer-related deaths in females worldwide despite remarkable progress in early diagnosis, screening, and patient management [3].  The use of ML/AI models in combination with statistical explarotary data analysis (EDA) has become a predominant area of cancer research as a part of HealthTech data science/analytics [1,2]