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后续步骤
恭喜您完成本单元的学习！
我们建议您探索各种 MLCC 模块 自己的节奏和兴趣如果您想遵循建议顺序 我们建议您接下来学习以下单元： 数据集、泛化和过拟合。
分类数据：测试您的知识掌握情况
如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC)：2024-08-13。
[null,null,["最后更新时间 (UTC)：2024-08-13。"],[[["\u003cp\u003eTest your understanding of categorical data by taking the quiz and earn a badge upon completion.\u003c/p\u003e\n"],["\u003cp\u003eExplore other Machine Learning Crash Course (MLCC) modules based on your interests or follow the recommended path to learn about datasets, generalization, and overfitting.\u003c/p\u003e\n"]]],[],null,["# Categorical data: Test your knowledge\n\n\u003cbr /\u003e\n\n|\n| Take this quiz to test your categorical data knowledge and earn the Categorical Data badge! \n| [Open quiz](/machine-learning/crash-course/categorical-data/quiz)\n\nWhat's next\n-----------\n\nCongratulations on finishing this module!\n\nWe encourage you to explore the various [MLCC modules](/machine-learning/crash-course)\nat your own pace and interest. If you'd like to follow a recommended order,\nwe suggest that you move to the following module next:\n**[Datasets, generalization and overfitting](/machine-learning/crash-course/overfitting)**.\n\n*** ** * ** ***\n\n[Help Center](https://support.google.com/machinelearningeducation)"]]