courseraАнализ данных

Diabetes Disease Detection with XG-Boost and Neural Networks

Курс от Coursera

Начальный≈ 2 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Artificial Neural Networks Machine Learning Model Evaluation Applied Machine Learning Classification Algorithms Data Analysis Data Visualization Exploratory Data Analysis Model Training Diagnostic Tests Scientific Visualization Machine Learning Algorithms Deep Learning Predictive Modeling Predictive Analytics Python Programming

Программа курса

1 модулей · 4 учебных материалов

01Project Overview4 материалов

Your Learning Journey

Project OverviewЧтение Diabetes Disease Detection with XG-Boost and Neural NetworksЛабораторная Assess Your KnowledgeЗадание Course End Survey - We appreciate your feedback!

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Dr. Ryan Ahmed

Professor & AI Expert (1M+ Students)