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draft of material is here: https://github.com/hugobowne/machine-learning-in-r/blob/master/ML_R_draft.Rmd\r\n\r\nYou can find the resulting html here: https://github.com/hugobowne/machine-learning-in-r/blob/master/ML_r_draft.html\r\n\r\nI have decided to develop the material in an R markdown notebook, as it provides an easy workflow.\r\n\r\nI will create another issue in this repo about converting it into a Carpentry lesson, which we can do after getting the material close to the final product.\r\n\r\nBefore this, I need to fill in some gaps in the motivation/explanation.\r\n\r\nWe also need to add more material.\r\n\r\nI currently have unsupervised learning & supervised learning (for classification), both using the [UCI breast cancer diagnosis dataset](http://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+%28diagnostic%29).\r\n\r\n**In this issue, I'm requesting everybody's thoughts on adding sections on:**\r\n\r\n- [x] classification using a dataset more relevant to the attendees, ideally a genomics/bioinformatics dataset\r\n- [x] regression challenges in ML, i.e., predicting a continuously varying target variable instead of a category ( i know several datasets we could use for this, but none are relevant to bioinformatics so help here requested)\r\n- [x] regularized regression and variable selection, e.g., using `glmnet`\r\n\r\nI welcome volunteers to work on each of these. Thanks!"}}
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