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Analyzing and Predicting Heart Failure on IBM Cloud

You are a busy developer, a data scientist or a user with not much coding experience and want the fastest path delivering data insights to users, but this requires deep expertise in many technology domains. In this skill, you will earn a powerful tool called Jupyter Notebook which contains live code, equations and visualizations to build a machine learning model that demonstrates ways to predict heart rate failure.After creating this predictive model, inputs that are entered can be scored to form a prediction for an individual case. Note that this application is used for demonstrative and illustrative purposes only and does not constitute an offering that has gone through regulatory review.

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Created by Industry Expert Last updated Wed, 27-May-2020 English
What will i learn?
  • Build a predictive model within a Jupyter Notebook
  • Deploy the model to IBM Watson Machine Learning service
  • Access the machine learning model through either APIs or a Node.js app

Curriculum for this course
0 Lessons 00:00:00 Hours
Requirements
  • Completion of the Predict Employee Turnover using IBM Watson Studio skill
  • Completion of the Identify potential repeat customers for your business skill
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Description

You are a busy developer, a data scientist or a user with not much coding experience and want the fastest path delivering data insights to users, but this requires deep expertise in many technology domains. In this skill, you will earn a powerful tool called Jupyter Notebook which contains live code, equations and visualizations to build a machine learning model that demonstrates ways to predict heart rate failure.After creating this predictive model, inputs that are entered can be scored to form a prediction for an individual case. Note that this application is used for demonstrative and illustrative purposes only and does not constitute an offering that has gone through regulatory review.

Earn a badge By completing this course, You will earn a digital badge by IBM. IBM credentials are recognized, respected and valued globally in the IT industry. You may easily and quickly share verified proof of your achievement wherever and whenever you choose.

Through self-paced learning, this badge earner has displayed an understanding of topics such as how to build and use a predictive machine learning model by implementing a potential health care use case and then integrating it with a web application.

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