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    <title>PyPI recent updates for skyndo</title>
    <link>https://pypi.org/project/skyndo/</link>
    <description>Recent updates to the Python Package Index for skyndo</description>
    <language>en</language>    <item>
      <title>0.7.11</title>
      <link>https://pypi.org/project/skyndo/0.7.11/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Wed, 17 May 2023 05:51:10 GMT</pubDate>
    </item>    <item>
      <title>0.7.10</title>
      <link>https://pypi.org/project/skyndo/0.7.10/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Wed, 17 May 2023 04:07:25 GMT</pubDate>
    </item>    <item>
      <title>0.7.9</title>
      <link>https://pypi.org/project/skyndo/0.7.9/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Wed, 17 May 2023 03:48:52 GMT</pubDate>
    </item>    <item>
      <title>0.7.8</title>
      <link>https://pypi.org/project/skyndo/0.7.8/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Tue, 16 May 2023 08:33:28 GMT</pubDate>
    </item>    <item>
      <title>0.7.7</title>
      <link>https://pypi.org/project/skyndo/0.7.7/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Tue, 16 May 2023 08:27:37 GMT</pubDate>
    </item>    <item>
      <title>0.7.6</title>
      <link>https://pypi.org/project/skyndo/0.7.6/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Tue, 16 May 2023 08:03:45 GMT</pubDate>
    </item>    <item>
      <title>0.7.5</title>
      <link>https://pypi.org/project/skyndo/0.7.5/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Tue, 16 May 2023 07:51:34 GMT</pubDate>
    </item>    <item>
      <title>0.7.4</title>
      <link>https://pypi.org/project/skyndo/0.7.4/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Tue, 16 May 2023 07:48:21 GMT</pubDate>
    </item>    <item>
      <title>0.7.3</title>
      <link>https://pypi.org/project/skyndo/0.7.3/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Tue, 16 May 2023 04:35:09 GMT</pubDate>
    </item>    <item>
      <title>0.7.2</title>
      <link>https://pypi.org/project/skyndo/0.7.2/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Tue, 16 May 2023 03:07:51 GMT</pubDate>
    </item>    <item>
      <title>0.7.1</title>
      <link>https://pypi.org/project/skyndo/0.7.1/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Tue, 16 May 2023 02:56:45 GMT</pubDate>
    </item>    <item>
      <title>0.7</title>
      <link>https://pypi.org/project/skyndo/0.7/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Wed, 03 May 2023 11:07:42 GMT</pubDate>
    </item>    <item>
      <title>0.6</title>
      <link>https://pypi.org/project/skyndo/0.6/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Wed, 03 May 2023 10:52:36 GMT</pubDate>
    </item>    <item>
      <title>0.5</title>
      <link>https://pypi.org/project/skyndo/0.5/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Wed, 03 May 2023 10:47:07 GMT</pubDate>
    </item>    <item>
      <title>0.4</title>
      <link>https://pypi.org/project/skyndo/0.4/</link>
      <description>A package to predict the class of astronomical objects for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Wed, 03 May 2023 10:10:13 GMT</pubDate>
    </item>    <item>
      <title>0.3</title>
      <link>https://pypi.org/project/skyndo/0.3/</link>
      <description>A package to predict the class for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Wed, 03 May 2023 09:33:04 GMT</pubDate>
    </item>    <item>
      <title>0.2</title>
      <link>https://pypi.org/project/skyndo/0.2/</link>
      <description>A package to predict the class for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Wed, 03 May 2023 06:46:11 GMT</pubDate>
    </item>    <item>
      <title>0.1</title>
      <link>https://pypi.org/project/skyndo/0.1/</link>
      <description>A package to predict the class for given parameters using a Random Forest model</description>
<author>nishandhanu21@gmail.com</author>      <pubDate>Thu, 20 Apr 2023 17:11:21 GMT</pubDate>
    </item>  </channel>
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