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缺失值是现实数据集中的常见问题，处理缺失值是数据预处理的关键步骤。缺失值可能由于各种原因而发生，例如数据的结构和质量、数据输入错误、传输过程中的数据丢失或不完整的数据收集。这些缺失的值可能会影响机器…

由於我不知道在哪個網站上看到說kaggle裡面高分群的人多是用雙模型，於是我也上網去找看看雙模型怎麼...

Mastering tabular data on Kaggle requires knowing which machine learning models deliver the best performance. Explore 7 popular models like XGBoost, LightGBM, CatBoost, and more. Understand their strengths, key features, and when to use each to improve your Kaggle competition results.

若是有參加過機器學習競賽的人應該都會聽過 XGBoost 這個橫掃各種競賽的演算法，其實後來也有衍生出 LightGBM 和 Cat boost 這兩種演算法可以使用，只是比較少人聽過，又鑒於這方面資料似乎比較少，就自己吃了一些學習資源來介紹，順便推動自己的學習，希望才疏學淺的本...

從在學校以來就很少碰到決策樹的演算法，決策樹演算法相較於深度學習有較好的可解釋性、且需要調整的參數較少，這也是為什麼我想要研究決策樹演算法的關係。上一篇《決策樹是什麼》簡單描述了決策樹的演算方式，這偏則是要介紹大名鼎鼎的XGBOOST《XGBoost: A Scalable…

XGboost全名為eXtreme Gradient…

My colleague Chris wrote a post about the popular video playback client VLC being pulled from the App Store following objections from a developer who worked on the project that it was in breach of the GNU Public License. [The app has now been released on Cydia for jailbroken devices.] This unpopular move had provoked strong reactions throughout the Mac blogging world, and Chris made a strong case for the prosecution in his post. However, every story always has two sides (and somewhere between them lies the truth). I'm here today to present the case for the defense: why Rémi Denis-Courmont was absolutely in the right to do what he did. However, to do so, I'm going to have to lay out some open source history to give structure to my arguments. Please follow me on.

# 中文/英文 使用不同字體 ###### tags: `實作 Style` ``` /* 讓 html 底下的元素都套用此 style */ html * { font-family: M

I would like to know if there is a better way to print all objects in a Python list than this : myList = [Person("Foo"), Person("Bar")] print("\n".join(map(str, myList))) Foo Bar I read this way ...

競程就是競技程式的縮寫，英文則是 competitive programming，簡稱 CP。算是資訊領域的分支，亦是有趣的學生活動之一。這領域近年來越來越熱門，對於升大學、考研究所、找工作都很有幫助