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Breast Cancer Prediction Using Machine Learning Approches

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dc.contributor.author Ferdous, Mst. Rukaia
dc.date.accessioned 2023-03-19T04:45:46Z
dc.date.available 2023-03-19T04:45:46Z
dc.date.issued 23-01-29
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/10005
dc.description.abstract Breast Cancer is used as a kind of death every year. It's the most considered normal kind of disease in ladies and the main smite of death all around the world. Quite possibly of the most significant and fundamental assignment in AI and information mining is arrangement. A significant measure of exploration has been directed to characterize Breast Disease utilizing information mining and AI on various clinical datasets. There are a few snags along the way. After highlighting the dataset and creating a data frame, I employ a variety of machine learning classifiers. This study gives an overview of the opinion assessment challenges that am relevant to their approaches and strategies. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Breast cancer en_US
dc.subject Disease en_US
dc.subject Machine learning en_US
dc.title Breast Cancer Prediction Using Machine Learning Approches en_US
dc.type Thesis en_US


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