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This course focuses on the application of machine learning algorithms in determining the fetal health status based on different medical factors.
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Difficulty: AdvancedDesigned for those with a technical background or industry experience
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Duration: Approximately 3 hours
Course Overview
- Fetus is referred to the unborn baby that develops and grows inside the mother’s womb.
- Pregnancy is a highly sensitive period both for the mother and fetus, as there can be multiple factors constantly influencing their health. Many times, there can be complications in the fetus which requires immediate medical attention and even a minor delay can cause mortality.
- So a proper, dedicated analysis of fetal health to identify fetuses which are at the risk category is a crucial task for medical professionals. Hence, machine learning models can play a major role in classifying fetal health based on different medical factors.
- Learn to apply classification algorithms to analyze fetal health based on different attributes and classify the fetal health status depending on the risk level.
What’s included
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Skills you will learn
Associated Learning Tracks
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Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.
With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.
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