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View Code? Open in Web Editor NEW:memo: An awesome Data Science repository to learn and apply for real world problems.
License: MIT License
:memo: An awesome Data Science repository to learn and apply for real world problems.
License: MIT License
Hey guys!
Currently, I'm learning data science from Codecademy and saw that it has a great course outline with the multiple projects and hands-on experience platform, so you guys just go take a look and add on this list for the newbies to get that. I personally recommended based on my points like ( Project Work, Easy Environment, Hands-on Experience ). Tools they are giving ( SQL, PYTHON, Machine Learning, Numpy, Pandas, etc ).
ThankYou and Please have a look at the Codeacemdy course.
i would like to do that ๐
Hey Guys
I just made a great repo about Data Science and its tool, so that repo need some alternation it would be great if you guys check that out and drop your suggestion so I'll add your point on it.
Thanks โค๏ธ
404 not found on coursera
link should be https://www.coursera.org/specializations/jhu-data-science
Hi,
My book Julia for Data Science is published by Manning this week.
The link for the book is: http://mng.bz/x4vd
I would be very happy if you kindly consider adding my book to the list of resources.
In addition I also have a Programming with Julia course on Udemy if you kindly want to consider for adding to the resource list: https://www.udemy.com/course/programming-with-julia/
Many thanks.
In INFOGRAPHIC section, row 4 and 5 of the table refer to the website 'MarketingDistillery.com', but that website is not available now.
this link is broken please check link
Facebook Data Science Page --> https://www.facebook.com/pages/Data-science/
let's translate this repo's data (each section seperated) jsonify for data scientists
The link -
https://github.com/okulbilisim/awesome-datascience/blob/master/DataScience-Life-Cycle.md
is not found.
Under Data Sets section, Quandl and quandl.com point to the same page(also different protocol, http vs https).
Please make a list of Data Scientist's environment.
Respected Sir,
I want to add some Evolutionary Algorithms in Data Science which are currently of high use now in your Readme File
I'd like to propose updating this list to include University of Wisconsin's Data Science Degree Program in your list of schools. It's truly an excellent program.
Learn more at: datasciencedegree (dot) wisconsin (dot) edu
Best,
Jay
Hello, I wrote a tool that can validate README links (valid URLs, not duplicate). It can be run when someone submits a pull request.
It is currently being used by
Examples
If you are interested, connect this repo to https://travis-ci.org/ and add a .travis.yml
file to the project.
See https://github.com/dkhamsing/awesome_bot for options, more information
Feel free to leave a comment ๐
I'd be happy to include a list of ML - stats algorithms that we could later explain in detail.
Goes to a 404 page.
I found wolframalpha on the visualization tools section, while wolframalpha is not viz tool, it's a computational intelligence more likely knowledge base. may i remove it?
Hi fellows,
I found a typo mistake and open this issue to fix that: "library has full functionality" -> "library has full functionalities"
This is a great repository.
Thanks
closed myself.
The goal of this Issue is to add Data Science from Scratch: First Principles with Python
, by Joel Grus to the list of books. It is a wonderful book, it explains lots of simple python concepts to more advanced data science and even Machine Learning.
It shows all the code for it, so you can understand all of it with examples.
I would suggest adding some common visualization tools, such as R's ggplot, d3, Tableau, etc, and explain how to start using them.
Hi,
I think we should put the link to the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition". This book is great for beginner.
Best regards
The contents would seem more organized if it was sorted alphabetically (the links in the section like MOOCs, Data Sets, etc.)
hi,
i found some problem with this repo.
in here i will list all the problems
and later today i will make a pull request with some fix(mostly redirects).
here is some dead links i found:
redirect to new place:
Line 574 in 7419959
Line 577 in 7419959
Line 585 in 7419959
Line 595 in 7419959
Line 603 in 7419959
Line 810 in 7419959
Line 852 in 7419959
Line 867 in 7419959
The link from Motivation section in the word guide is dead.
The text says:
This is the Guide to begin a Data Science project.
Pytorch implementation, basic concepts of Natural Language Processing.
A ChatBot, which is based on Deep Learning and Natural Language Processing. It uses libraries like PyTorch and NLTK (Natural Language Tool Kit) for model training purposes and its GUI was created using the Tkinter module in Python.
Data cleaning, Pytorch basics, Natural Language Processing basics, etc.
A file to store intents of the model that's created, called "intents.json" is created.
I have the solution, will be happy to create pull request to include the aforementioned exercise statement.
please make a motivation list for one whom about to start Data Science.
some data visualizing can be better
delete me
Both are awesome but there is a large overlap between these two:
What would be the key differentiators?
Any plan to merge the two awesome repos?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.