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jpeng.org

Wharton PhD Tech Camp 2015

Wharton PhD Tech Camp 2015. This course aims at offering some hands-on experience for incoming and current PhD students interested in data-driven research. This course will use a real-world example to show how to collect, clean, and analyze data, from beginning to end. In addition, this course will also briefly cover machine learning and natural language processing tools that may greatly facilitate data analysis. 1 R and Python Basics. Version control. zip. Resources: Google Python videos.

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Jing Peng

4416 W●●●●●● St 2R

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pe●●●●●●@live.com

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Jing Peng

4416 W●●●●●● St 2R

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Wharton PhD Tech Camp 2015 | jpeng.org Reviews
<META>
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Wharton PhD Tech Camp 2015. This course aims at offering some hands-on experience for incoming and current PhD students interested in data-driven research. This course will use a real-world example to show how to collect, clean, and analyze data, from beginning to end. In addition, this course will also briefly cover machine learning and natural language processing tools that may greatly facilitate data analysis. 1 R and Python Basics. Version control. zip. Resources: Google Python videos.
<META>
KEYWORDS
1 instructor
2 jing peng
3 course description
4 syllabus
5 tools r
6 python
7 rstudio
8 wingware ide
9 notepad
10 r videos
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instructor,jing peng,course description,syllabus,tools r,python,rstudio,wingware ide,notepad,r videos,git doc,tools tweepy,scrapy,regular expression tester,resources twitter rest,and streaming,facebook api,regex,tutorial,full manual,tools weka,tools optim
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Wharton PhD Tech Camp 2015 | jpeng.org Reviews

https://jpeng.org

Wharton PhD Tech Camp 2015. This course aims at offering some hands-on experience for incoming and current PhD students interested in data-driven research. This course will use a real-world example to show how to collect, clean, and analyze data, from beginning to end. In addition, this course will also briefly cover machine learning and natural language processing tools that may greatly facilitate data analysis. 1 R and Python Basics. Version control. zip. Resources: Google Python videos.

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