social-perception
Studying sociopolitical attitudes and moving the human perspective using psychographic and sociodemographic data from the European Social Survey. (by ivanachillee)
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource (by rasbt)
social-perception | python-machine-learning-book | |
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1 | 2 | |
3 | 12,076 | |
- | - | |
2.4 | 0.0 | |
3 months ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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.
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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.
social-perception
Posts with mentions or reviews of social-perception.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Social Perception: Shaping the spectrum of human thought.
this is the repo https://github.com/ivanachillee/social-perception
python-machine-learning-book
Posts with mentions or reviews of python-machine-learning-book.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-12.
- Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E]
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What is the purpose of meshgrid in Python / NumPy?
I am studying "Python Machine Learning" from Sebastian Raschka, and he is using it for plotting the decision borders. See input 11 here.