Diabetes Disease Detection with XG-Boost and Neural Networks
In this project-based course, we will build, train and test a machine learning model to detect diabetes with XG-boost and Artificial Neural Networks. The objective of this project is to predict whether a patient has diabetes or not based on their given features and diagnostic measurements such as number of pregnancies, insulin levels, Body mass index, age and blood pressure.
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- Level Foundation
- المدة 2 ساعات hours
- الطبع بواسطة Coursera Project Network
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In this project-based course, we will build, train and test a machine learning model to detect diabetes with XG-boost and Artificial Neural Networks. The objective of this project is to predict whether a patient has diabetes or not based on their given features and diagnostic measurements such as number of pregnancies, insulin levels, Body mass index, age and blood pressure.الوحدات
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- Diabetes Disease Detection with XG-Boost and Neural Networks
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Discover how to detect diabetes using XG-Boost and Neural Networks in this beginner-friendly, project-based course by Coursera. Over 120 minutes, you'll build, train, and test a machine learning model, predicting diabetes based on features like pregnancies, insulin levels, BMI, age, and blood pressure. Perfect for those looking to delve into personal development and machine learning, and it's free to subscribe!
Ryan Ahmed