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Simplest intro to git by github and codeschool - Try Git
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[Intro to github]
amit-sp-singh
jaseemabid
/ git tutorials.md
Last active
August 26, 2024 02:27
— forked from netroy/git tutorials.md
Awesome git tutorials I am finding here and there
ndarville
/ business-models.md
Last active
October 23, 2024 17:18
Business models based on the compiled list at http://news.ycombinator.com/item?id=4924647. I find the link very hard to browse, so I made a simple version in Markdown instead.
ansell
/ 14.04-bloat-packages
Last active
January 17, 2021 03:25
— forked from jimbocoder/14.04-bloat-packages
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| # Purge the following packages | |
| account-plugin-aim | |
| account-plugin-facebook | |
| account-plugin-flickr | |
| account-plugin-jabber | |
| account-plugin-salut | |
| account-plugin-twitter | |
| account-plugin-windows-live | |
| account-plugin-yahoo |
Geoyi
/ install virtualenv ubuntu 16.04.md
Created
September 16, 2017 12:19
— forked from frfahim/install virtualenv ubuntu 16.04.md
How to install virtual environment on ubuntu 16.04
ElToro1966
/ r_ubuntu_18_04.sh
Last active
October 1, 2023 18:29
— forked from pachadotdev/r_ubuntu_17_10.sh
Install R and RStudio on Ubuntu 18.04 with essential libraries for data science. Based on pachamaltese/r_ubuntu_17_10.sh (for Ubuntu 17.10). Note: You need to make sure the default library location - /usr/local/lib/R/site-packages - is writable .
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| # Install R | |
| sudo apt update | |
| sudo apt install gdebi libxml2-dev libssl-dev libcurl4-openssl-dev libopenblas-dev r-base r-base-dev | |
| # Install RStudio | |
| cd ~/Downloads | |
| wget https://download1.rstudio.org/desktop/bionic/amd64/rstudio-1.2.5001-amd64.deb | |
| sudo gdebi rstudio-1.2.5001-amd64.deb | |
| printf '\nexport QT_STYLE_OVERRIDE=gtk\n' | sudo tee -a ~/.profile |
bhavukchawla
/ ml-recs.md
Created
February 15, 2020 12:28
— forked from bsletten/ml-recs.md
Machine Learning Path Recommendations
This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.
I will generally list things in order of easier to more formal/challenging content.
It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.
I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an