academic / awesome-datascience Goto Github PK

The link from Motivation section in the word guide is dead.

The text says:

This is the Guide to begin a Data Science project.

this link is broken please check link

Facebook Data Science Page --> https://www.facebook.com/pages/Data-science/

The link -
https://github.com/okulbilisim/awesome-datascience/blob/master/DataScience-Life-Cycle.md
is not found.

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

• https://github.com/vsouza/awesome-ios
• https://github.com/matteocrippa/awesome-swift
• https://github.com/dkhamsing/open-source-ios-apps

Examples

• https://travis-ci.org/matteocrippa/awesome-swift/builds/96526196 ok ✅
• https://travis-ci.org/matteocrippa/awesome-swift/builds/96722421 link redirected / rename 🔴
• https://travis-ci.org/dkhamsing/open-source-ios-apps/builds/96763135 bad link / project deleted 🔴
• https://travis-ci.org/dkhamsing/open-source-ios-apps/builds/95754715 dupe 🔴

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 😄

some data visualizing can be better

delete me

In INFOGRAPHIC section, row 4 and 5 of the table refer to the website 'MarketingDistillery.com', but that website is not available now.

closed myself.

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.

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.

https://www.codecademy.com/learn/paths/data-science

Both are awesome but there is a large overlap between these two:

• https://github.com/okulbilisim/awesome-datascience
• https://github.com/josephmisiti/awesome-machine-learning

What would be the key differentiators?
Any plan to merge the two awesome repos?

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

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?

I can not push to repo. It says permission denied.

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

Please make a list of Data Scientist's environment.

Learning Goals

Pytorch implementation, basic concepts of Natural Language Processing.

Exercise Statement

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.

Prerequisites

Data cleaning, Pytorch basics, Natural Language Processing basics, etc.

Data source/summary:

A file to store intents of the model that's created, called "intents.json" is created.

Solution

I have the solution, will be happy to create pull request to include the aforementioned exercise statement.

Respected Sir,
I want to add some Evolutionary Algorithms in Data Science which are currently of high use now in your Readme File

https://github.com/sindresorhus/awesome/blob/master/awesome.md#include-contribution-guidelines :)

Towards Data Science - A curated newsletter for all the latest research, projects and developments in the field of Data Science and Machine Learning.

i would like to do that 👍

https://github.com/Malcuth/demo-repository/blob/main/.github/workflows/proof-html.yml

https://d2l.ai/

Under Data Sets section, Quandl and quandl.com point to the same page(also different protocol, http vs https).

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.

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 ❤️

https://github.com/BIGG000/Data-Science-Learning-Track

Goes to a 404 page.

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

I would suggest adding some common visualization tools, such as R's ggplot, d3, Tableau, etc, and explain how to start using them.

please make a motivation list for one whom about to start Data Science.

404 not found on coursera
link should be https://www.coursera.org/specializations/jhu-data-science

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:

• awesome-datascience/README.md

  Line 126 in 7419959

  - [MS in Computer Information Systems @ Boston University](http://cisonline.bu.edu/)

• awesome-datascience/README.md

  Line 128 in 7419959

  - [Data Science Engineer @ BTH](https://www.bth.se/nyheter/bth-startar-sveriges-forsta-civilingenjorsprogram-inom-data-science/)

• awesome-datascience/README.md

  Line 880 in 7419959

  - [Github free data source list](http://www.datasciencecentral.com/profiles/blogs/great-github-list-of-public-data-sets)

• awesome-datascience/README.md

  Line 883 in 7419959

  - [IBM Blog about open data](http://www.datasciencecentral.com/profiles/blogs/the-free-big-data-sources-everyone-should-know)

redirect to new place:

• awesome-datascience/README.md

  Line 574 in 7419959

  - [Datawrangling](http://datawrangling.com/) by Peter Skomoroch. MACHINE LEARNING, DATA MINING, AND MORE

  
  http://datawrangling.com/ -> https://www.trifacta.com/

• awesome-datascience/README.md

  Line 577 in 7419959

  - [Data Science Report](http://datasciencereport.com/) MDS, Inc. Helps Build Careers in Data Science, Advanced Analytics, Big Data Architecture, and High Performance Software Engineering

  
  http://datasciencereport.com/ -> http://starbridgepartners.com/

• awesome-datascience/README.md

  Line 585 in 7419959

  - [Datascope Analytics](https://datascopeanalytics.com/) data-driven consulting and design

  
  https://datascopeanalytics.com/ -> https://www.ideo.com/datascope

• awesome-datascience/README.md

  Line 595 in 7419959

  - [Data Science 101](http://101.datascience.community/) - Learning To Be A Data Scientist

  
  http://101.datascience.community/ -> https://ryanswanstrom.com/

• awesome-datascience/README.md

  Line 603 in 7419959

  - [Map Reduce Blog](https://www.mapr.com/blog)

  
  https://www.mapr.com/blog -> https://community.hpe.com/t5/HPE-Ezmeral-Uncut/bg-p/software

• awesome-datascience/README.md

  Line 810 in 7419959

  - [TuneedIT](http://tunedit.org/challenges)

  
  http://tunedit.org/challenges -> https://tunedit.org/

• awesome-datascience/README.md

  Line 852 in 7419959

  - [quandl.com](https://www.quandl.com/) - Get the data you need in the form you want; instant download, API or direct to your app.

  
  https://www.quandl.com/ -> https://data.nasdaq.com/

• awesome-datascience/README.md

  Line 867 in 7419959

  - [National Climatic Data Center - NOAA](https://www.ncdc.noaa.gov/)

  
  https://www.ncdc.noaa.gov/ -> https://www.ncei.noaa.gov/

The contents would seem more organized if it was sorted alphabetically (the links in the section like MOOCs, Data Sets, etc.)

I'd be happy to include a list of ML - stats algorithms that we could later explain in detail.

let's translate this repo's data (each section seperated) jsonify for data scientists