orange
docker-data-science
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orange | docker-data-science | |
---|---|---|
26 | 1 | |
4,594 | 0 | |
1.5% | - | |
9.6 | 0.0 | |
7 days ago | over 1 year ago | |
Python | Dockerfile | |
Do What The F*ck You Want To Public License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
orange
- Orange Data Mining
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The Graph of Wikipedia [video]
For all you folks who aren't ace programmer types, the Orange3[1] platform gives you a very miniaturized[2] ability to turn out these sorts of visualizations very rapidly. It's not the most stable thing in the world, but the node-based ML workflow designer is worth the price of admission all by itself.
[1] https://orangedatamining.com/
[2] The Wikipedia extension in Text limits each search result to 25 articles, so sucking all of Wikipedia is . . well, Orange text analytics crashes when I look at it sideways with a null character, so let's not think about what would happen.
- Ask HN: What Underrated Open Source Project Deserves More Recognition?
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Taxonomy Management?
First is identifying the "similar" things in a corpus. Best way I know to do that, for non-programmer audiences, is the Orange Data Mining tool, which gives you a node-based text mining interface to perform statistical analysis on text. Hierarchical Clustering shows - very rapidly - how similar your "modules" are, which ones are most similar. There's many other techniques (semantic viewer, similarity hash, etc) as well - the right one will depend on how your content is laying about.
- Orange: Open-source machine learning and data visualization
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What exactly is AutoGPT?
Both tools are ripoffs of a data mining framework named Orange 3
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Why don't more people use Altair for python Visualizations instead of Plotly?
You should also check out Orange Data Mining, it allows to create a lot of charts, filter data from a chart to another, build ML models, predictions and a lot more. And you can do it with zero code.
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Advice on Transitioning to Data Science/ML/AI without Coding Experience
You can start with a free GUI based tool Orange. It is a component based data science workflow tool, which you can use to handle 60-75% of the traditional data science tasks from classification, regression, to basic neural networks.
- Has anybody used Orange?
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Book or web book recommendation request: a data visualization cookbook using Python for scientists.
Have you tried Orange? https://orangedatamining.com/ This is not a direct answer to your question but Orange has Python based stuff for data mining and visualization. It is very intuitive as for being a graphical interface.
docker-data-science
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Jupyter Notebooks
Exactly. You can pre-configure yours for data science projects and publish it to Docker Hub for others to leverage. Thereโs one here: https://github.com/0xnu/docker-data-science
What are some alternatives?
glue - Linked Data Visualizations Across Multiple Files
jupyterlab-kite - Kite Autocomplete Extension for JupyterLab
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
neptune-client - ๐ The MLOps stack component for experiment tracking
RDKit - The official sources for the RDKit library
cmder - Lovely console emulator package for Windows
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
RStudio Server - RStudio is an integrated development environment (IDE) for R
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
docker-python3 - Python 3 build that is 20% faster
NumPy - The fundamental package for scientific computing with Python.
zeroc-ice-py-centos7 - Centos 7 ZeroC Ice Python Builder