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  1. theme.min.css

    1 3.6-8.1 8.1s3.6 8.1 8.1 8.1 8.1-3.6 8.1-8.1-3.6-8.1-8.1-8.1zM2.5...0-8.1 3.6-8.1 8.1s3.6 8.1 8.1 8.1 8.1-3.6 8.1-8.1-3.6-8.1-8.1-8.1zM2.5...
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    Mon Apr 29 02:44:37 UTC 2024
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  2. dict-14.png

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    alpha=8 RGB 8 8 8 8 5271 1 1.0 1 8 8 8 8 true true 1015 Normal...
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    Sat Apr 13 02:40:18 UTC 2024
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  3. Inside NASA's monthslong effort to rescue the V...

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    Voyager 1, it takes 22 1/2 hours to get the signal up and 22 1/2 hours...Voyager 1 to resume sending back science data. Voyager 1 and its...
    www.nbcnews.com/science/space/nasa-rescue-voyager-1-mission-rcna149514
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    Sat Apr 27 01:03:04 UTC 2024
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  4. Powerball jackpot at almost $1 billion after no...

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    Powerball jackpot is now almost at $1 billion — and no, this is not...Powerball jackpot was won on Jan. 1 for $842.4 million by a ticket...
    www.nbcnews.com/news/powerball-jackpot-almost-1-billion-no-winner-latest-drawing-rcna145770
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    Mon Apr 01 01:00:40 UTC 2024
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  5. 1.6. Nearest Neighbors — scikit-learn 1.4.2 doc...

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    Neighbors 1.6.1.1. Finding the Nearest Neighbors 1.6.1.2. KDTree...([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...
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  6. 1.4. Support Vector Machines — scikit-learn 1.4...

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    n_support_ array([1, 1]...) 1.4.1.1. Multi-class classification...software. 1.4. Support Vector Machines 1.4.1. Classification 1.4.1.1....
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  7. 1.1. Linear Models — scikit-learn 1.4.2 documen...

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    1.1. Linear Models 1.1.1. Ordinary Least Squares 1.1.1.1.... 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02,...
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  8. Version 1.4 — scikit-learn 1.4.2 documentation

    Version 1.4 Version 1.4.2 Version 1.4.1.post1 Metadata...2. Version 1.4.1.post1 February 2024 Note The 1.4.1.post1 release...
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  9. Version 1.2 — scikit-learn 1.4.2 documentation

    is deprecated in 1.2.1 and will be removed in 1.5. Instead, import...use the software. Version 1.2 Version 1.2.2 Changelog sklearn.base...
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  10. 2.3. Clustering — scikit-learn 1.4.2 documentation

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    1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...0 , 0 , 1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...
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