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Github Driscoll42 Data Communities A Curated List Of Data

Emily Johnson
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github driscoll42 data communities a curated list of data

A curated list of Data communities for engineers, developers, project managers, and those just curious in data! Inspited by Awesome Discord Communities and This Dot's Tech Community Slacks but with a focus on data. If you're familiar with other popular awesome lists, you may find this list a little anomalous. For starters take a look at the available badges. Notable channels are exploratory, and can be used for looking up a particular topic. A community may offer channels dedicated to more than one spoken languages that Language is there for.

You can start contributing from here. Read this FAQ about Discord's privacy policy and answers to other frequent questions. Data manupulation and visualization, machine learning frameworks and artificial intelligence. /r/machinelearning Notable Channels: #quick-questions, #machine-learning-projects, #resources, #math-questions, #programming-questions, #andrew-ng-coursera-machine-learning Language: English Artificial Intelligence Notable Channels: #questions, #machine-learning, #deep-learning, #reinforcement-learning, #natural-language-processing, #systems-neuroscience, #computer-vision, so much more Language: English By participating in this project you agree to follow the contributor code of conduct.

From here on, the word server and community will be used interchangeably and will mean the same thing. To include a community to the list, fork this project and add your server under a section or subsection, or you can include a new section if need be, then create a pull request. Make sure your proposal meets these requirements below, if you've Python installed you can take advantage of this script. ✅ Community icon is optimized with WebP, with 75% lossy quality, and at least 128x128 pixel in resolution with moderate PPI ✅ Community name does not contain any emoji (discouraged) ✅ Invite link is permanent, generated from Discord platform itself, or URL whose domain is owned by you that eventually with or without captcha verification redirects to Discord invite page.

No third-party URL domain allowed that isn't owned by your community, this includes link shorteners. I spend a lot of my time developing educational materials for data science, and since I always teach from a real-data perspective, this means that I spend a lot of my time looking for... This blog post summarizes the first places I go when looking for a new dataset to play around with. While there are big data repositories like Kaggle, UCI Machine Learning repository, and data.gov, I often find more useful datasets in smaller, more curated repositories, which are often compiled by just one person, rather... Link: https://github.com/rfordatascience/tidytuesday Tidy Tuesday is much more than “just a data repository”.

Tidy Tuesday is an entire community, originally brought together by Tom Mock to help people improve their data analysis and visualization skills using R. Tidy Tuesday provides weekly data sets and data exploration challenges, with thousands of participants from all around the world sharing their work, offering feedback, and collaborating on projects. Whether you are a seasoned data professional or just starting out, Tidy Tuesday is an excellent resource for learning and growth in the data science field. “Data is Plural” is a weekly newsletter of “useful/curious datasets”, published by Jeremy Singer-Vine. The Data is Plural newsletter is delivered each week straight to your inbox and typically features a curated collection of recent and relevant high-quality and diverse datasets from a wide range of domains, including... ..

image:: https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg :alt: Awesome :target: https://github.com/sindresorhus/awesome This is a list of topic-centric public data sources <https://github.com/awesomedata/awesome-public-datasets>_ in high quality. They are collected and tidied from blogs, answers, and user responses. Most of the data sets listed below are free, however, some are not. This project was incubated at OMNILab <https://github.com/OMNILab>, Shanghai Jiao Tong University during Xiaming Chen's Ph.D. studies.

OMNILab is now part of the BaiYuLan Open AI community <https://github.com/Bai-Yu-Lan>. Other amazingly awesome lists can be found in sindresorhus's awesome <https://github.com/sindresorhus/awesome>_ list. .. image:: https://raw.githubusercontent.com/awesomedata/apd-core/master/logo/baiyulan.PNG :alt: BaiYuLanAI :target: https://github.com/Bai-Yu-Lan NOTICE: This repo is automatically generated by apd-core <https://github.com/awesomedata/apd-core/tree/master/core>. Please DO NOT modify this file directly.

We have provided a new way to contribute to this repo <https://github.com/awesomedata/apd-core/blob/master/CONTRIBUTING.md>. Join <https://join.slack.com/t/awesomedataworld/shared_invite/zt-dllew5xy-PJYi~mWUdY3hupohbmVZsA>_ the slack community <https://awesomedataworld.slack.com>_ for an instant touch of HQ data updates. .. |OK_ICON| image:: https://raw.githubusercontent.com/awesomedata/apd-core/master/deploy/ok-24.png .. |FIXME_ICON| image:: https://raw.githubusercontent.com/awesomedata/apd-core/master/deploy/fixme-24.png The awesome section presents collections of high quality datasets organized by topic.

Home page for awesome collections is located in the awesome-data repository on GitHub and should be modified from there. Air pollution datasets and other sources of related data Existing databases or services providing substantial bibliographic data Data on broadband access and usage around the world A collection of the most important "general" datasets on climate change

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