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

The big part of this projects will be data pre processing. This course will cover handling the type of data i.e. typical to the health care field and also look at some cool machine learning techniques such as Neural Networks and other Supervised learning techniques such as other simple linear classifiers.

We will be then comparing the contrast with the results and see what works the best with the data that we have used. So, What are you waiting for just join us on this amazing course and start learning the cutting edge machine learning application.