Diabetes Prediction using Machine Learning
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By 2035, this will be doubled to 592 million. To facilitate early detection, we are developing a website that employs a machine learning approach.
This project responds by developing a machine learning-based website for early detection. Employing a Support Vector Machine Algorithm, it integrates new data with existing datasets, forming a robust predictive framework.
Following diabetes prediction, the website offers users personalized diet plans, addressing individual health needs. .
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£27.18
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