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We are analyzing Youtube trends and comments to ultimately discover how youtubers become famous.

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# Youtube Data Prediction

![logo](https://images.duckduckgo.com/iu/?u=http%3A%2F%2Fnetdna.webdesignerdepot.com%2Fuploads%2F2013%2F09%2Fnew_youtube_logo.jpg&f=1)

## Abstract:
Use Youtube's API to analyze data from successful channels to look at up and coming youtube channels to predict when we think success will be achieved, or not at all.

## Contributors:
* Sam Cornish
* Atlas Rezhko
* Andie Donovan
* Matthew Peterschmidt
* Shon Inouye
* Conor O'Brien

## Timeline 
**Week 2**: Form group

**Week 3**: Finalize project plan

**Week 4**: Extract data, get familiar with API data

**Week 5**: Start collecting comment data, put into SQL database

**Week 6**: Work with SQL database & practice applying NLP techniques on comments

**Week 7**: Have "positive or negative" algorithm finalized

**Week 8**: Data visualization of results

**Week 9**: Finish analysis

**Week 10**: Finish & clean up project

## Links:
[Requirements](https://github.com/UCSB-dataScience-ProjectGroup/youtube/requirements.txt)

[Scripts](https://github.com/UCSB-dataScience-ProjectGroup/youtube)

[Images](https://github.com/UCSB-dataScience-ProjectGroup/youtube)

[API](https://developers.google.com/youtube/v3/)

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