Brawl_Stars
The Notebook file generates the detailed automated report showing us the optimal brawler to increase the rank and power accordingly to have faster progress in the game. (by Chanakya-Andey)
Data-science
Collection of useful data science topics along with articles, videos, and code (by khuyentran1401)
Brawl_Stars | Data-science | |
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2 | 1 | |
4 | 4,029 | |
- | - | |
10.0 | 5.9 | |
over 1 year ago | 17 days ago | |
Jupyter Notebook | Jupyter Notebook | |
- | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
Brawl_Stars
Posts with mentions or reviews of Brawl_Stars.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-04.
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Hey everyone I’m Data Scientist and I play Brawl Stars in my free time. I’ve created a Brawl Stars report using python using Brawl Stars API. The plots in the report help users bring balance among their brawlers and community as well. This requires patience. Please find below the link to the repo.
https://github.com/Chanakya-Andey/Brawl_Stars 1. Download ipynb, csv, py files 2. Make changes in config.py and save it 3. Run ipynb or convert it into py and run it
Data-science
Posts with mentions or reviews of Data-science.
We have used some of these posts to build our list of alternatives
and similar projects.
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Half of women will get a false positive 3D mammogram, study finds
And if you can't to positive tests and were each time randomly selected for the test, the probability to be really positive is 99%
https://github.com/khuyentran1401/Data-science/blob/master/s...