awesome-public-real-time-datasets
ML-For-Beginners
awesome-public-real-time-datasets | ML-For-Beginners | |
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8 | 28 | |
423 | 67,497 | |
20.8% | 3.3% | |
5.1 | 6.9 | |
3 days ago | 2 days ago | |
HTML | ||
Creative Commons Zero v1.0 Universal | MIT License |
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awesome-public-real-time-datasets
- List of publicly available datasets with real-time data
- FLaNK Stack Weekly for 20 Nov 2023
- Bytewax: Stream processing library built using Python and Rust
- Public Real-Time Datasets and Sources
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What are some good publicly available real-time data sources?
Added for now - https://github.com/bytewax/awesome-public-real-time-datasets/commit/94ca4a3d40dc212690c6cdc22c107289b4268661
I am attempting to source via the wisdom of the crowd here. I often find it hard to find good real-time data sources for learning about streaming, prototyping, or building hobby projects. I started researching and then created an "Awesome List" in a GitHub repo - https://github.com/bytewax/awesome-public-real-time-datasets.
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Ask HN: What are some public real-time data sources?
I started an awesome list with real-time data sources here: https://github.com/bytewax/awesome-public-real-time-datasets . Have any datasets or data sources I should add to this list? Comment below or PRs welcome :).
ML-For-Beginners
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Good coding groups for black women?
- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
- FLaNK Stack Weekly for 20 Nov 2023
- ML for Beginners GitHub
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is it worth learning NLP without master degree?
I don't recommend just jumping in into natural language processing directly without understanding artificial intelligence theory. I personally recommend for you to start with the basic stuff (regression, classification, and clustering, for example), and then jump into more advanced topics. You already know software developer stuff, so that's a big step already, and it should be easier to understand some concepts. Maybe follow Microsoft's machine learning for beginners curriculum? It looks like a good roadmap overall to not instantly burn out on nlp
- AI i Machine Learning
- I want to learn more about AI and Machine Learning
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Pocetak ML karijere
https://github.com/microsoft/ML-For-Beginners jel mislis na ovo?
- How could I have known
- GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- How do I reset my career after already getting my masters?
What are some alternatives?
datagen - Generate authentic looking mock data based on a SQL, JSON or Avro schema and produce to Kafka in JSON or Avro format.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
RedfinScraper - Scrapes Redfin data.
pycaret - An open-source, low-code machine learning library in Python
superset - Apache Superset is a Data Visualization and Data Exploration Platform
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
mockingbird - Mockingbird is a mock streaming data generator
pyVHR - Python framework for Virtual Heart Rate
depthai-python - DepthAI Python Library
S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]