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Yeah was thinking of giving a quick overview with a not-so-deep dive into the easier stuff like Naive Bayes classification. But your suggestion makes sense as w
by tsax 13y ago
Yeah was thinking of giving a quick overview with a not-so-deep dive into the easier stuff like Naive Bayes classification.
But your suggestion makes sense as well. I like the supermarket example. Do you maybe have a list of these that I could demo? A link to a specific demo problem?
Thanks a lot
- vijucat 13y agoCheck out the UCI Machine Learning Repository for a (huge) list of data / problems to test your ML-fu on : http://archive.ics.uci.edu/ml/ http://archive.ics.uci.edu/ml/ library(randomForest) in R comes with some automobile data from the above repository and a small worked example which can be greatly expanded upon. For example, it's fun to try and predict manually whether the car is a 2-door or 4-door by staring at the data, which has 26 columns, so it may be not that obvious: > summary(imp85$numOfDoors) four two 112 81 The variable-importance plot reveals all : the bodyStyle is a key predictor! > varImpPlot(numDoors.rf) I uploaded it here :http://i.imgur.com/IU98gfo.png http://i.imgur.com/IU98gfo.png > summary(imp85$bodyStyle) convertible hardtop hatchback sedan wagon 6 8 63 92 24 Hope this is useful.
- tsax 13y agoAwesome thanks! It is useful