anchor.diff:            h4 Erin Shellman 
             h4 
               a(href="#") R Notebook
  +
  +        section(data-transition-speed="fast")
  +          h2 Review of concepts
   
           section(data-transition-speed="fast")
             h2 Share your work!
  
positive.code:           h4 BI Tech CP303 - Data Mining
            h4 Erin Shellman 
            h4 
              a(href="#") R Notebook
  
          section(data-transition-speed="fast")
            h2 Unsupervised learning
            p Sometimes you won't really know what your outcome is.
            p in that case to build a predictor
            ol 
              li create clusters
              li name clusters
              li build predictor for the cluster
  
          section(data-transition-speed="fast")
            h2 Clustering Resources
            ol
              li Nice presentation by #[a(href="http://www.slideshare.net/PhamCuong/clustering-technique-for-collaborative-filtering-recommendation-and-application-to-venue-recommendation") Pham Cuong] about clustering techniques for recommendations.
  
          section#share(data-background="images/data_miner9.jpg" data-background-size="cover")
            h2 Sharing is caring!
  
negative.code:           h4 BI Tech CP303 - Data Mining
            h4 Erin Shellman 
            h4 
              a(href="https://github.com/erinshellman/BI-TECH-CP303/blob/master/projects/project%203/association-rules-in-R.Rmd") R Notebook
  
          section
            h2 A new paradigm
  