<p data-line="0" class="code-line">■MLモデル</p>
<p data-line="2" class="code-line">→勾配ブースティング決定木（XGBoost, LightGBM, CatBoost）を実装してみた<br style="display:none">
<span class="embed-block zenn-embedded zenn-embedded-card"><iframe id="zenn-embedded__b2ca6d70046be" src="https://embed.zenn.studio/card#zenn-embedded__b2ca6d70046be" data-content="https%3A%2F%2Fqiita.com%2FDS27%2Fitems%2F1d0fe42fe2a406b7128a" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://qiita.com/DS27/items/1d0fe42fe2a406b7128a" style="display:none" target="_blank" rel="nofollow noopener noreferrer">https://qiita.com/DS27/items/1d0fe42fe2a406b7128a</a></p>
<p data-line="5" class="code-line">■MLモデル活用</p>
<p data-line="7" class="code-line">→AutoML（PyCaret）を使ってみた<br style="display:none">
<span class="embed-block zenn-embedded zenn-embedded-card"><iframe id="zenn-embedded__45e61a2aea657" src="https://embed.zenn.studio/card#zenn-embedded__45e61a2aea657" data-content="https%3A%2F%2Fqiita.com%2FDS27%2Fitems%2Fbc56163b2cc48403deb0" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://qiita.com/DS27/items/bc56163b2cc48403deb0" style="display:none" target="_blank" rel="nofollow noopener noreferrer">https://qiita.com/DS27/items/bc56163b2cc48403deb0</a></p>
<p data-line="10" class="code-line">■思い出すため<br>
→不確かさを扱える新しい勾配ブースティングNGBoostを実装してみた<br style="display:none">
<span class="embed-block zenn-embedded zenn-embedded-card"><iframe id="zenn-embedded__2dbe7fb524e6d" src="https://embed.zenn.studio/card#zenn-embedded__2dbe7fb524e6d" data-content="https%3A%2F%2Fqiita.com%2FDS27%2Fitems%2Fa0039c4eec78364c95ab" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://qiita.com/DS27/items/a0039c4eec78364c95ab" style="display:none" target="_blank" rel="nofollow noopener noreferrer">https://qiita.com/DS27/items/a0039c4eec78364c95ab</a></p>


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