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what is going on everybody welcome back to my youtube channel richard on data and if this is your first time here my name is richard and this is the channel where i help you break into data science and grow your skills in the field this is another video in my r tutorial series and specifically itamp;#39;s the third and final video in my series covering the tidy models suite of packages for machine learning so if you havenamp;#39;t seen the first two videos they will be in the description of this video highly obviously recommend watching those two before getting into this one but where we left off in the last video was we had just gone through workflows so a workflow is just a container which puts all the pieces of the machine learning pipeline into one condensed object so we had done in the last tutorial a random forest where we specified to the m try hyper parameter that weamp;#39;re going to tune that later thatamp;#39;s why we pass this tune function to f2 uh to the m tri hyper
