https://github.com/samedwardes/predictive-text-model-swift-key
Capstone project for the Data Science Specialization through Coursera and John Hopkins University.
https://github.com/samedwardes/predictive-text-model-swift-key
Last synced: 5 months ago
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Capstone project for the Data Science Specialization through Coursera and John Hopkins University.
- Host: GitHub
- URL: https://github.com/samedwardes/predictive-text-model-swift-key
- Owner: SamEdwardes
- Created: 2019-07-22T19:54:05.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2019-08-22T14:18:07.000Z (almost 7 years ago)
- Last Synced: 2025-07-04T10:07:40.275Z (about 1 year ago)
- Language: HTML
- Size: 15.3 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Predictive Text Model (Swift Key)
Capstone project for the Data Science Specialization through Coursera and John Hopkins University.
## Deliverables
- Quizzes
- [Week 1 Quiz](https://github.com/SamEdwardes/predictive-text-model-swift-key/blob/master/quiz%20and%20reports/quiz%201.R)
- Reports
- [Week 2 Report](http://samedwardes.com/predictive-text-model-swift-key/quiz%20and%20reports/Week%202%20-%20Milestone%20Report.nb.html)
- [Week 6 Report](https://samedwardes.com/predictive-text-model-swift-key/quiz%20and%20reports/Week_6_-_Presentation.html) (*pitch slides*)
- Shiny App ([ui.R](app/ui.R) and [server.R](app/server.R))
## Resources
Data:
- [Training data](https://d396qusza40orc.cloudfront.net/dsscapstone/dataset/Coursera-SwiftKey.zip)
External Resources from Coursera:
- [Text mining infrastucture in R](http://www.jstatsoft.org/v25/i05/)
- [CRAN Task View: Natural Language Processing](http://cran.r-project.org/web/views/NaturalLanguageProcessing.html)
- [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
Exteranl Resources I found helpful:
- [Beginers guide to quanteda](https://data.library.virginia.edu/a-beginners-guide-to-text-analysis-with-quanteda/)