
Data Science: CNN & OpenCV: Breast Cancer Detection
A practical hands on Deep Learning Project on building a Breast Cancer Detection model using Tensorflow, CNN and OpenCV
Learn to build three Machine Learning models (Logistic regression, Decision Tree, Random Forest) from scratch
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A practical hands on Deep Learning Project on building a Breast Cancer Detection model using Tensorflow, CNN and OpenCV
Breast Cancer detection using Logistic Regression
Learn how to make simple healthy changes that will increase your chances of beating cancer or staying in remission.
Few global challenges touch humanity with as much immediacy or ubiquity as cancer. The good news is that the landscape of cancer treatment and prevention is a vastly different place than it was even a decade ago. What Science Knows about Cancer reports from the front lines of the war on cancer with a clear and scientifically precise—yet thoroughly accessible—guide to how the disease develops, thrives, and can potentially be conquered. Taught by David Sadava, a laboratory researcher at the City of Hope Medical Center and an award-winning professor of biology at The Claremont Colleges, this highly visual 24-lecture course leaves no stone unturned in explaining the amazing ways cancer works to subvert the body’s normal functioning, and how therapies can reverse these insidious processes. Disclaimer: These lectures are not designed for use as medical references to diagnose, treat, or prevent medical illnesses or trauma. Neither The Great Courses nor Professor Sadava is responsible for your use of this educational material or its consequences. If you have questions about the diagnosis, treatment, or prevention of a medical condition or illness, consult a qualified physician.
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