<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[btsjk520的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/btsjk520</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; btsjk520]]></copyright><item><title><![CDATA[数据可视化要点]]></title><link>https://blog.youkuaiyun.com/btsjk520/article/details/155677850</link><guid>https://blog.youkuaiyun.com/btsjk520/article/details/155677850</guid><author>btsjk520</author><pubDate>Sun, 07 Dec 2025 20:58:03 +0800</pubDate><description><![CDATA[**进阶**：学习**Python（Pandas + Seaborn/Plotly）** 或 **R（ggplot2）** 进行编程化、可复现的可视化分析。*   **入门**：从理解核心原则和常用图表开始，使用**Tableau Public**或**Power BI Desktop**进行实践。*   **深入**：研究视觉感知理论、交互设计原理，并学习**D3.js**以掌握底层原理和无限定制能力。*   **ECharts**：百度开源，图表类型丰富，文档友好，中文社区活跃。]]></description><category></category></item><item><title><![CDATA[第十届大数据竞赛决赛本科组]]></title><link>https://blog.youkuaiyun.com/btsjk520/article/details/154657142</link><guid>https://blog.youkuaiyun.com/btsjk520/article/details/154657142</guid><author>btsjk520</author><pubDate>Mon, 10 Nov 2025 19:02:08 +0800</pubDate><description><![CDATA[X_test = df_test.drop(['ID', 'Y'], axis=1)  # 测试集可能无Y。print("验证集准确率:", accuracy_score(y_val, y_pred_val))submit_df.to_csv('预测结果.csv', index=False)'信用分类（是否有风险，是=1，否=0）': y_pred_test。1. 数据预处理：筛选信用差（Y=0）的客户，处理缺失值与异常值。'测试集样本编号': df_test['ID'],]]></description><category></category></item></channel></rss>