Applied Machine Learning For Healthcare

Course details

Needsare changing with time and so the technology. Self-drivingcars,orSiri,what do these have in common?Well!theyare largely theexamples ofmachine learningbeingutilized as a part of this realworld.Machine learningtoday has changed the way we look and the way we interact with thetechnology.

Eventhehealthcare sector is gettingtransformed by the ability to record massive amounts of informationabout individual patients, the enormous volume of data beingcollected is impossible for human to analyze.Machine learning provides a way to automatically find patterns andreason about data, which enables healthcare professionals to move topersonalizedcare.

Thereare many possibilities for how machine learning can be used inhealthcare, and forthisreason we have outlined thecourse ofAppliedMachineLearning in healthcareonlyfor you thatoffers a hands-on experience onhow to build actual projects using the Machine Learning Datasets.

Thiscourse coversfivepython implementationswiththe projectseries,thatwill exploremedically related data sets bysolving the critical issuesusing state of the art machine learning techniques.

• Thiscourse will giveyou the hands on experience working on the Breastcancer detection project. Wewill be training a K nearest algorithm model as a support vectormachine to predict whether the cell is cancerous or not.

• Thesecond project is followed withtheDiabetesonset prediction.Wewill befocusingon Neural networks thatwillhelp users tolearn similar implementation on wide variety of problems.

• Thethird project will be theDNAclassificationproject, here we will usingthe sequence of equal eye DNA as our input data, bycreating aclassification based machine learning algorithm.

• Thefourth project will be the Heartdisease prediction project. Inthis course we will be building atraining algorithm that predicts coronary heart disease.

• Thefifth project will take you to the Autismscreening, thatwill cover severalsupervisedlearning techniques to diagnose Autistic Spectrum Disorder based onbehavioralfeatures.

Thebonuspartof this projectswill be DataPreProcessing.Thiscourse will cover handlingthe typeof data i.e. typicalto the health care fieldinaddition to somecool machinelearningtechniques such as NeuralNetworksand otherSupervisedlearningtechniquessuch as simple linear classifiers.

Getstarted in machine learning with this epic intro course that makesmachine learning simpler andeasy to understand! Dontlet time slip from your hand. Enroll your name now and learnabit on how Machine Learning can be used in the health care field.