MLLib labs and content - Githubissues

goldshtn / spark-workshop

Labs and data files for a full-day Spark workshop

MIT License

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MLLib labs and content #6

Open goldshtn opened 8 years ago

goldshtn commented 8 years ago

Add an intro that highlights key concepts in ML and a few comments on some algorithms that Spark has to offer. Then we can do labs on:

[x] TF-IDF example -- plagiarism detection
[ ] Binary classification -- census data, predict >$50K income using Naive Bayes or Decision Tree (Forest)
[ ] Clustering -- TBD
[ ] Collaborative filtering -- MovieLens dataset, adapted from Databricks training