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Release Highlights for scikit-learn 1.3
We are pleased to announce the release of scikit-learn 1.3! Many bug fixes and improvements were added, as well as some new key features. We detail below a few of the major features of …
https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html
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Do people not use sci-kit learn / other traditional libraries ... - Reddit
Most people work with tabular data where traditional machine learning models are the best tool. Scikit-learn is still a great framework for training models on tabular data. PyTorch, language …
https://www.reddit.com/r/datascience/comments/16lu9ni/do_people_not_use_scikit_learn_other_tradition...
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python - Installing an old version of scikit-learn - Stack Overflow
I'm trying to run some old python code that requires scikit-learn 18.0 but the current version I have installed is 0.22 and so I'm getting a warning/invalid data when I run the code. …
https://stackoverflow.com/questions/59974146/installing-an-old-version-of-scikit-learn
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Linear Regression in Scikit-learn vs Statsmodels - Medium
To summarize some key differences: · OLS efficiency: scikit-learn is faster at linear regression; the difference is more apparent for larger datasets. · Logistic regression...
https://medium.com/@hsrinivasan2/linear-regression-in-scikit-learn-vs-statsmodels-568b60792991
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9. Model persistence — scikit-learn 1.5.2 documentation
After training a scikit-learn model, it is desirable to have a way to persist the model for future use without having to retrain. Based on your use-case, there are a few different ways to persist a …
https://scikit-learn.org/stable/model_persistence.html
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What's the difference between scikit-learn and tensorflow? Is it ...
Scikit learn or more generally if you use in code as sklearn is a machine learning library that comes with out of the box models. You can use these models in your projects if you know how …
https://stackoverflow.com/questions/61233004/whats-the-difference-between-scikit-learn-and-tensorflo...
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User Guide — scikit-learn 1.5.2 documentation
1. Metadata Routing. Supervised learning- Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic …
https://scikit-learn.org/stable/user_guide.html
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