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Added links to the notes I compiled for all 9 classes
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‎about.md

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@@ -22,4 +22,5 @@ The [Data Science Specialization](https://www.coursera.org/specialization/jhudat
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- Michael Sachs
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- Allan Inocêncio de Souza Costa
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- [stepds](https://github.com/stepds)
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- Bastiaan Quast
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- Bastiaan Quast
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- [Xing Su](http://sux13.github.io/DataScienceSpCourseNotes/)

‎ddp.md

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- [ggvis and rmarkdown slides with interactive plots](http://qua.st/ggvis-shiny-html5-slides/)
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- [Shiny app to simulate 401K growth with interactive plots](http://www.mephistosoftware.com/shiny/401k_simulator/)
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- [Shiny Video Tutorials Playlist on Youtube](http://www.youtube.com/playlist?list=PL6wLL_RojB5xNOhe2OTSd-DPkMLVY9DfB)
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## Comprehensive Notes
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- Complete notes for [Developing Data Products](http://sux13.github.io/DataScienceSpCourseNotes/)

‎eda.md

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- [Creating a Kite Graph](http://rpubs.com/thoughtfulbloke/kitegraph)
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- [Analyzing Top/Green500 Supercomputer Technology Trends](http://github.com/ww44ss/Exascalar-Analysis-)
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- [Emissions Choropleth Maps](https://github.com/BillSeliger/ExData_Plotting2)
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- [Emissions Choropleth Maps](https://github.com/BillSeliger/ExData_Plotting2)
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## Comprehensive Notes
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- Complete notes for [Exploratory Data Analysis](http://sux13.github.io/DataScienceSpCourseNotes/)

‎getclean.md

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- [Second Codebook sample](https://gist.github.com/kirstenfrank/699abe3e16fd1dc36e5d)
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- [Query string (and other fields-within-fields) unrolling](http://rpubs.com/schnee/32988)
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- [Pre-processing Excel files before loading them into R](https://github.com/alkashef/cleaningexceldata)
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## Comprehensive Notes
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- Complete notes for [Getting and Cleaning Data](http://sux13.github.io/DataScienceSpCourseNotes/)

‎pml.md

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## Choosing a Machine Learning Model
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- [Comparing Supervised Learning Algorithms](http://www.dataschool.io/comparing-supervised-learning-algorithms/): Comparing 8 common supervised learning algorithms (for regression and classification) on 13 different dimensions.
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## Comprehensive Notes
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- Complete notes for [Practical Machine Learning](http://sux13.github.io/DataScienceSpCourseNotes/)

‎regmod.md

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## Supplementary Videos
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- [Video lectures from "An Introduction to Statistical Learning"](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/): Videos for Chapter 3 can help to deepen your understanding of regression.
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## Comprehensive Notes
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- Complete notes for [Regression Models](http://sux13.github.io/DataScienceSpCourseNotes/)

‎repres.md

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- [Turning a RPubs document into a Github website walkthrough](https://github.com/thoughtfulbloke/appleorange)
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- [Introduction to knitr with rmarkdown](https://sachsmc.github.io/knit-git-markr-guide/knitr/knit.html)
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- [Trends and severity of Data Breaches](http://rpubs.com/ww44ss/29389)
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## Comprehensive Notes
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- Complete notes for [Reproducible Research](http://sux13.github.io/DataScienceSpCourseNotes/)

‎rprog.md

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- [Some notes on the R Language](http://lopezrj.github.io)
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## R language cheatsheet
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- [R cheatsheet covering all lectures](https://github.com/startupjing/Tech_Notes/blob/master/R/R_language.md)
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## Comprehensive Notes
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- Complete notes for [R Programming](http://sux13.github.io/DataScienceSpCourseNotes/)

‎statinf.md

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- [Why degrees of freedom decrease for sample variance](https://github.com/Manu58/bias/blob/master/bias.pdf)
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## Comprehensive Notes
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- Complete notes for [Statistical Inference](http://sux13.github.io/DataScienceSpCourseNotes/)

‎toolbox.md

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- [Understanding the Relationship Between Git and GitHub](http://www.dataschool.io/github-is-just-dropbox-for-git/)
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- [Simple Guide to GitHub Forks](http://www.dataschool.io/simple-guide-to-forks-in-github-and-git/)
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- [Github Repo Tutorial How to fork a repo, download it to your local drive and commit changes ](https://www.youtube.com/watch?v=MY94AIplcaU)
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## Comprehensive Notes
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- Complete notes for [The Data Scientist's Toolbox](http://sux13.github.io/DataScienceSpCourseNotes/)

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