Breast Cancer Classification using Machine Learning
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=o5E2zDaUiQ8
In this project in python, we’ll build a classifier to train on 80% of a breast cancer histology image dataset. Of this, we’ll keep 10% of the data for validation. • IDC is Invasive Ductal Carcinoma; cancer that develops in a milk duct and invades the fibrous or fatty breast tissue outside the duct; it is the most common form of breast cancer forming 80% of all breast cancer diagnoses. And histology is the study of the microscopic structure of tissues. • Github link: https://github.com/DeepranjanG/Breast... • Datsets Link: https://www.kaggle.com/paultimothymoo... • LinkedIn: www.linkedin.com/in/deepranjang • Video By - [email protected] Deepranjan Kumar Gupta • Blog - https://studygyaan.com/ • Please Subscribe - / studygyaan • Amazing Playlist - / studygyaan • Contact Us - / studygyaan
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