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    <title>PyPI recent updates for breezeml</title>
    <link>https://pypi.org/project/breezeml/</link>
    <description>Recent updates to the Python Package Index for breezeml</description>
    <language>en</language>    <item>
      <title>1.9.0</title>
      <link>https://pypi.org/project/breezeml/1.9.0/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Thu, 09 Jul 2026 06:20:59 GMT</pubDate>
    </item>    <item>
      <title>1.8.0</title>
      <link>https://pypi.org/project/breezeml/1.8.0/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Wed, 08 Jul 2026 19:18:36 GMT</pubDate>
    </item>    <item>
      <title>1.7.1</title>
      <link>https://pypi.org/project/breezeml/1.7.1/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Tue, 07 Jul 2026 05:56:39 GMT</pubDate>
    </item>    <item>
      <title>1.7.0</title>
      <link>https://pypi.org/project/breezeml/1.7.0/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Tue, 07 Jul 2026 05:50:11 GMT</pubDate>
    </item>    <item>
      <title>1.6.0</title>
      <link>https://pypi.org/project/breezeml/1.6.0/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Mon, 06 Jul 2026 06:56:44 GMT</pubDate>
    </item>    <item>
      <title>1.5.1</title>
      <link>https://pypi.org/project/breezeml/1.5.1/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Mon, 06 Jul 2026 06:51:46 GMT</pubDate>
    </item>    <item>
      <title>1.5.0</title>
      <link>https://pypi.org/project/breezeml/1.5.0/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Mon, 06 Jul 2026 06:45:55 GMT</pubDate>
    </item>    <item>
      <title>1.4.0</title>
      <link>https://pypi.org/project/breezeml/1.4.0/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Mon, 06 Jul 2026 06:34:04 GMT</pubDate>
    </item>    <item>
      <title>1.3.0</title>
      <link>https://pypi.org/project/breezeml/1.3.0/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Mon, 06 Jul 2026 06:18:57 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/breezeml/1.2.0/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Mon, 06 Jul 2026 06:13:09 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/breezeml/1.1.0/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Mon, 06 Jul 2026 06:07:14 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/breezeml/1.0.1/</link>
      <description>A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents: train, compare, explain, export, and deploy scikit-learn models without the boilerplate.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Mon, 06 Jul 2026 00:55:44 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/breezeml/1.0.0/</link>
      <description>BreezeML — Production-grade machine learning with zero boilerplate, built on scikit-learn.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Mon, 06 Jul 2026 00:31:57 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/breezeml/0.3.0/</link>
      <description>BreezeML — Production-grade machine learning with zero boilerplate, built on scikit-learn.</description>
<author>akashagakash@gmail.com</author>      <pubDate>Thu, 07 May 2026 19:03:09 GMT</pubDate>
    </item>    <item>
      <title>0.2.9</title>
      <link>https://pypi.org/project/breezeml/0.2.9/</link>
      <description>BreezeML — Production-grade machine learning with zero boilerplate, built on scikit-learn.</description>
<author>akash@example.com</author>      <pubDate>Thu, 07 May 2026 06:40:11 GMT</pubDate>
    </item>    <item>
      <title>0.2.5</title>
      <link>https://pypi.org/project/breezeml/0.2.5/</link>
      <description>BreezeML — Production-grade machine learning with zero boilerplate, built on scikit-learn.</description>
<author>akash@example.com</author>      <pubDate>Thu, 23 Apr 2026 01:59:30 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/breezeml/0.2.4/</link>
      <description>BreezeML — Production-grade machine learning with zero boilerplate, built on scikit-learn.</description>
<author>akash@example.com</author>      <pubDate>Thu, 23 Apr 2026 01:36:32 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/breezeml/0.2.3/</link>
      <description>BreezeML — Production-grade machine learning with zero boilerplate, built on scikit-learn.</description>
<author>akash@example.com</author>      <pubDate>Thu, 23 Apr 2026 01:20:43 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/breezeml/0.2.2/</link>
      <description>BreezeML — Production-grade machine learning with zero boilerplate, built on scikit-learn.</description>
<author>akash@example.com</author>      <pubDate>Thu, 23 Apr 2026 00:58:40 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/breezeml/0.2.1/</link>
      <description>BreezeML — Production-grade machine learning with zero boilerplate, built on scikit-learn.</description>
<author>akash@example.com</author>      <pubDate>Wed, 22 Apr 2026 07:44:08 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/breezeml/0.2.0/</link>
      <description>BreezeML — Production-grade machine learning with zero boilerplate, built on scikit-learn.</description>
<author>akash@example.com</author>      <pubDate>Wed, 22 Apr 2026 07:02:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/breezeml/0.1.2/</link>
      <description>🌬️ BreezeML 🔥✨ — A beginner-friendly machine learning library built on scikit-learn.</description>
<author>akash@example.com</author>      <pubDate>Thu, 16 Oct 2025 06:04:06 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/breezeml/0.1.1/</link>
      <description>Beginner-friendly wrapper around scikit-learn: train, evaluate, explain, and compare ML models in one line.</description>
<author>your.email@example.com</author>      <pubDate>Fri, 03 Oct 2025 18:57:57 GMT</pubDate>
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