Mining the Social Web - Facebook

[BlackHatX]

Mining the Social Web - Facebook
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 34M | 361 MB
Genre: eLearning | Language: English
Are you interested in exploring the data generated by Facebook's over 1.28 billion daily active users? Do you have some basic experience working with Python? If so, this course is for you.

Are you interested in exploring the data generated by Facebook's over 1.28 billion daily active users? Do you have some basic experience working with Python? If so, this course is for you.

You'll explore Facebook's social graph and learn how it structures data; as well as discover how to use Python and Facebook's Graph API to connect to and query the social graph for page and user data, and pick up some experience manipulating and visualizing Facebook data using the powerful Python libraries, pandas and matDescriptionlib. The course is taught by data scientist Mikhail Klassen and is based on content from Matthew Russell's book, "Mining the Social Web" (O'Reilly Media).

Explore the Facebook social graph and discover how it structures data
Learn how to query Facebook data with Python and Facebook's Graph API
Pick up techniques for comparing the popularity of Facebook pages
Discover how to measure audience engagement with content for brand analysis
Learn how to manipulate and visualize Facebook data

**Hidden Content: Reply to see the content**

[axede]

Thanks dude

[darkthrone99]

Link pls

[impro]

Thanks dude

[partnerr]

Cool

[agus240273]

Thanks bro

[joejoe1]

thanks!!

[leejiacheng1]

Thank you.

[Eco16]

Thanks

[mpowermadhukar]

ty

[tomashanx]

sweet thx

[pk1984]

Thanks

[terryhoho]

thank you friend

[lexy123]

Link pls

[nitty-witty]

nice one here again

[Whoisthis]

interested

[edsdrb]

Thx

[Sqeba]

Thanks dude

[joecass]

ty

[savitar]

thanks boss

[savitar]

thanks boss

[tiesto]

Thank dude

[blackmz]

Mining the Social Web - Facebook
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 34M | 361 MB
Genre: eLearning | Language: English
Are you interested in exploring the data generated by Facebook's over 1.28 billion daily active users? Do you have some basic experience working with Python? If so, this course is for you.

Are you interested in exploring the data generated by Facebook's over 1.28 billion daily active users? Do you have some basic experience working with Python? If so, this course is for you.

You'll explore Facebook's social graph and learn how it structures data; as well as discover how to use Python and Facebook's Graph API to connect to and query the social graph for page and user data, and pick up some experience manipulating and visualizing Facebook data using the powerful Python libraries, pandas and matDescriptionlib. The course is taught by data scientist Mikhail Klassen and is based on content from Matthew Russell's book, "Mining the Social Web" (O'Reilly Media).

Explore the Facebook social graph and discover how it structures data
Learn how to query Facebook data with Python and Facebook's Graph API
Pick up techniques for comparing the popularity of Facebook pages
Discover how to measure audience engagement with content for brand analysis
Learn how to manipulate and visualize Facebook data

***Hidden content cannot be quoted.***

thanks

[allmobilez]

thanks

[Danstaks]

link ty

[Not Tai Lopez]

yay thanks

[Simpatic]

thx

[huntermanager]

thnks for share mate

[JoeCl]

thanks

[digi99]

dsd

[orel987]

ty!

[goblogeta091]

ty

[ratanak]

thanks

[mazermazer]

Looking good

[Kassabou]

txs