[Code Addition Request]: Malaria Cells Classification using CNN and Transfer Learning #926
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#681
Project Description
Malaria is a life-threatening disease caused by parasites that are transmitted through the bites of infected female Anopheles mosquitoes. Early and accurate detection of malaria is crucial for effective treatment. Classifying malaria-infected cells using machine learning can help automate and improve the accuracy of diagnosis. The challenge is to develop a model that can accurately classify healthy and infected cells.
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Vivek Prakash
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