hackforla / hackforla/data-science

Information for New and Existing Members

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complexity: missing CoP: Data Science feature: missing milestone: missing project: missing role: missing size: missing
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Description

**Meeting Times**
Every Monday at 7:00PM Pacific. No meetings on the first Monday of the month.
[Zoom Link](https://us06web.zoom.us/j/87038212377?pwd=bnh3bkJGeWJ0eS94YTRzaVFhZ2Nwdz09)

**Important Links**
[Google Drive](https://drive.google.com/drive/folders/1maraSDu5BXzCYWFubY834Nq-8AT93FUJ?usp=sharing)
[Data Science Team Roster](https://docs.google.com/spreadsheets/d/1QJltNh1gOybfebe-RkT-xS7m4OtxbuFfaJ4OujeA4h0/edit#gid=0)
Please contact Abe Khaleghi on Slack if you require access to the above sites.

**For Letters Confirming Hack for LA Participation**
Please see: https://github.com/hackforla/governance/issues/61

**Handy Tools and Sites**
[Full Page Screenshot Chrome ext](https://chrome.google.com/webstore/detail/gofullpage-full-page-scre/fdpohaocaechififmbbbbbknoalclacl?hl=en)
[311 Data API Access](https://dev-api.311-data.org/docs)
[Google's Intro to Machine Learning Tutorials](https://developers.google.com/machine-learning/crash-course)
[Intro to Deep Learning Tutorials](https://carpentries-incubator.github.io/deep-learning-intro/aio.html)
[Dive Into Deep Learning Free Textbook](https://d2l.ai/index.html)
[YouTube: Deep Learning Crash Course for Beginners](https://www.youtube.com/watch?v=VyWAvY2CF9c)
[YouTube: Andrew Ng's Machine Learning Course Lectures at Stanford](https://www.youtube.com/watch?v=VyWAvY2CF9c)

**Recommended Newsletters and Other Data Science Resources, Courtesy of Sophia**
[Learn to Cloud](https://learntocloud.guide/)
[Writing Docker Files](https://dev.to/prodevopsguytech/writing-a-dockerfile-beginners-to-advanced-31ie)
[Data Elixer](https://dataelixir.com/)
[Cryptogram](https://www.schneier.com/crypto-gram/)
[PyCoders](https://pycoders.com/)
[Vicki Boykis](https://vickiboykis.com/)
[Pola](https://pola.rs/)
[Astral](https://docs.astral.sh/uv/)
[Last Week in AWS](https://www.lastweekinaws.com/)
[Machine Learning Flashcards](https://machinelearningflashcards.com/)
[Wizardzines](https://wizardzines.com/)
[Data Society](https://datasociety.net/)
[PublicGood.tech](https://www.publicgood.tech/)
[404 Media](https://www.404media.co/)
[Gradient Flow](https://substack.com/@gradientflow)
[The Sequence](https://thesequence.substack.com/)
[The Batch](https://www.deeplearning.ai/the-batch/)
[Progressphiles](https://docs.google.com/forms/d/e/1FAIpQLScGK2_xGFPT386YoylFgF8PY9AuurZC2ikRvSkSOlG_vVQY9w/viewform)
[The AI Report](https://ai-report.kdnuggets.com/)

Contributor guide

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