awesome-katas
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kaggle-environments | awesome-katas | |
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55 | 7 | |
273 | 2,577 | |
1.5% | - | |
6.6 | 3.0 | |
about 2 months ago | 5 months ago | |
Jupyter Notebook | ||
Apache License 2.0 | - |
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.
kaggle-environments
- Data Science Roadmap with Free Study Material
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Help needed! My first hackathon
If you are interested in Data Science, you may want to look at Kaggle competitions. https://www.kaggle.com/competitions
- What's a statistical / research methodology, that's not usually taught in grad programs, that you think more IO's should be aware about?
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Freaking out about how I’m inexperienced to land an internship and eventually a job
Secondly, if you feel like you do not have enough skills or a lack of practice answering problem statements, there are a lot of good websites where you can find interesting projects. I would recommend starting participating in some Kaggle competitions or download some free Google datasets and start playing with them.
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Capitalism provides half-assed solutions to extinction-level problems caused by capitalism
For reference: Kaggle is a Google product. You can see the list of current competitions here.
- Where can neural networks take me? - Semi-existential crisis
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What Can I Do With My Time as a Substitute for Strategy Computer Games?
You could try Kaggle competitions, or participating in forecasting markets (as you stated) is another option. You don't need any specific skill set to be a forecaster, the rules of the bet are stipulated and from there it's just based on your ability to predict the outcome. You could also try your hand at investing in the stock market, or try and make money betting on sports games. If you're very good at this stuff I'm sure you can make a lot of money doing it. The thing to keep in mind is that generally video games are much much easier than real life
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What is the best advanced professional certification for Data Science/ML/DL/MLOps?
As to the specifics of your projects, that's up to you. Try browsing Kaggle; check out some of the work we have on The Pudding; check out some journalism examples to see what you can try to build on or improve.
- Suggestions for projects on kaggle for cv?
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Hi! Im doing research on AI innovation. Does anybody know any specific platform where I can learn/understand and get case studies or on-going projects that companies are implementing? Thanks for your help!
You might want to look at kaggle competitions.
awesome-katas
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Learning to code and got some questions??
You can find lists that group exercises such as this one
- Paano ma-exercise ang skills sa programming?
- Dificuldade em escrever código
- Learn Go with Tests
- [AskJS] I don't like the code i write. How can i go beyond intermediate level?
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Looking for a way to advance from intermediate level to master
This is true, by the way, for learning another language, as well. That's obviously a much higher investment, but it makes you more well-rounded as a developer. I regularly practice code katas, the same one in different languages and approaches, to constantly re-evaluate my way of thinking and solving problems.
- Exercism is a great place to exercise your Perl skills
What are some alternatives?
CKAN - CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.
awesome-livecoding - All things livecoding
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
awesome-actions - A curated list of awesome actions to use on GitHub
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
awesome-koans - A list of all available kōans
docarray - Represent, send, store and search multimodal data
awesome-intelligence - A collaboratively curated list of awesome Open-Source Intelligence (OSINT) Resources
datasci-ctf - A capture-the-flag exercise based on data analysis challenges
angular-performance-checklist - ⚡ Cheatsheet for developing lightning fast progressive Angular applications
dremio-oss - Dremio - the missing link in modern data
awesome-lists - The awesome list of all the awesome lists