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[Week 1 Quiz](https://github.com/SamEdwardes/predictive-text-model-swift-key/blob/master/quiz%20and%20reports/quiz%201.R)\n- Reports\n    - [Week 2 Report](http://samedwardes.com/predictive-text-model-swift-key/quiz%20and%20reports/Week%202%20-%20Milestone%20Report.nb.html)\n    - [Week 6 Report](https://samedwardes.com/predictive-text-model-swift-key/quiz%20and%20reports/Week_6_-_Presentation.html) (*pitch slides*)\n- Shiny App ([ui.R](app/ui.R) and [server.R](app/server.R))\n\n## Resources\n\nData:\n\n- [Training data](https://d396qusza40orc.cloudfront.net/dsscapstone/dataset/Coursera-SwiftKey.zip)\n\n\nExternal Resources from Coursera:\n\n- [Text mining infrastucture in R](http://www.jstatsoft.org/v25/i05/)\n- [CRAN Task View: Natural Language Processing](http://cran.r-project.org/web/views/NaturalLanguageProcessing.html)\n- [Videos](https://www.youtube.com/user/OpenCourseOnline/search?query=NLP) and [Slides](https://web.stanford.edu/~jurafsky/NLPCourseraSlides.html) from Stanford Natural Language Processing course\n\nExteranl Resources I found helpful:\n\n- [Beginers guide to quanteda](https://data.library.virginia.edu/a-beginners-guide-to-text-analysis-with-quanteda/)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamedwardes%2Fpredictive-text-model-swift-key","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsamedwardes%2Fpredictive-text-model-swift-key","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamedwardes%2Fpredictive-text-model-swift-key/lists"}