Create a putting it all together chapter, where we demonstrate an entire DS workflow, from reading data , to EDA, to modelling, and communicating the results. We can build off a project Tiffany has created for MDS: https://github.com/ttimbers/breast_cancer_predictor. At a minimum we do this for a classification example, at a maximum we do this also for all modelling methods in the book. Or some intermediate goal. MAJOR
(regression) marathon race time (or other races horses etc, long jump distance, recreation vs high performance)
(classification) tennis winner prediction using rank (pts?) + age + height? ranks confirmed to be "as of the match beginning" https://github.com/JeffSackmann/tennis_atp
(inference) http://www.ces-eec.ca/ Q52 phone survey "what party do canadians generally think of themselves as being aligned with",
(clustering) cheese data? baking / recipes data Margo?
Create a putting it all together chapter, where we demonstrate an entire DS workflow, from reading data , to EDA, to modelling, and communicating the results. We can build off a project Tiffany has created for MDS: https://github.com/ttimbers/breast_cancer_predictor. At a minimum we do this for a classification example, at a maximum we do this also for all modelling methods in the book. Or some intermediate goal. MAJOR