kaggle _Titanic: Machine Learning from Disaster

A Data Science Framework: To Achieve 99% Accuracy

https://www.kaggle.com/ldfreeman3/a-data-science-framework-to-achieve-99-accuracy/notebook

额，总共花了2天时间才把上面这个优秀回答运行完，前面还算看得懂，如何清理数据，和画图看联系

但是后面的数据处理，使用各种模型，不知道原理是什么，后面还得花点时间补一下，现在这里记录一下

疑问汇总：

第一问，第21行，左边这些各种分类器不熟悉数学原理，以及代码的实现？？

第2问，第27行对树模型的操作不是很知悉？？

第3问，这些决策树，怎么画的，怎么看这些树形图？

第4问，后面的各种模型validation也要再看一遍，如何用SKlearn实现的？

Hard Voting 与 Soft Voting 的对比 https://www.cnblogs.com/volcao/p/9483026.html

原文地址：https://www.cnblogs.com/captain-dl/p/10289536.html

时间： 2024-11-01 09:16:56

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