Applied Machine Learning For Healthcare [Free Online Course] - TechCracked

Applied Machine Learning For Healthcare

Learn to implement machine learning algorithms to real world life sciences problems

What it includes?
  • 18 lectures  
  • 5 hours
  • Lifetime Access. No Limits!
  • Certificate of Completion

  • Machine learning
  • Python

  • Students will learn to apply machine learning concepts on real world scenarios
  • Learn to implement popular ML algorithms
  • Learn to think like a ML practitioner

About this Course

Machine learning is changing the way how businesses and industries uses data, whether it be self driven cars, automating Chatbots or stock predictors Machine learning is everywhere. Healthcare is one of the most important industry which has embraced machine learning and it is already delivering results.

To characterize machine learning in the least complex terms, it is fundamentally the ability to equip the computers to think for themselves depending upon the situations that occurs based on the training data. Considering, machine learning and the bright future it has, we have designed this hands on course for you.

The value of machine learning in healthcare is its capacity to process huge datasets beyond the scope of human capability, and afterward change the analysis of that data into clinical insights that guide physicians in planning and providing care, ultimately leading to better outcomes, bring down expenses, and increased patient satisfaction. This is the reason we have outlined this introductory course of Applied Machine Learning in healthcare only for you.

This course covers five python programming projects, that will explore medically related data sets by solving the critical issues using state of the art machine learning techniques.

This is the five project series, lets take a look at everything you will find in this course:-

  • Breast cancer detection project
  • Diabetes onset prediction
  • DNA classification projects
  • Heart disease prediction
  • Autism screening

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