This is a set of scripts demoing the use of different machine learning and statistical algorithms. The purpose is to build up a record of best practices around using these algorithms, error and accuracy checking, and plotting for my own reference. Its also a good example of what I can do!

• regression script and r markdown file
• dimensionality reduction with PCA
• dimensionality reduction with Latent Dirichlet Allocation
• clustering with k-means

• random forest classification
• co-occurance matrix recommendation engine