๐จโ๐ป Full-stack developer proficient in MERN stack, React Native, and Flutter.
๐ฑ Passionate about crafting seamless mobile experiences and scalable web applications.
โ๏ธ Blogger on Medium, sharing insights and tutorials on software development.
๐ Committed to continuous learning and knowledge sharing.
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adarsh-dayanand / malariadetection-machine-learning Goto Github PK
View Code? Open in Web Editor NEWThis is a simple project to detect the malaria infected people by their blood samples using Machine Learning. Random forest classification is used in this project. The accuracy is around 90%. The data-set used is the real data-set. The data-set is obtained from Kaggle.