線性迴歸:測驗您的知識
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
後續步驟
恭喜您完成本單元!
我們鼓勵您按照自己的步調和興趣,探索各種 MLCC 模組。如果您想按照建議的順序學習,建議您接著前往下列模組:邏輯迴歸。
除非另有註明,否則本頁面中的內容是採用創用 CC 姓名標示 4.0 授權,程式碼範例則為阿帕契 2.0 授權。詳情請參閱《Google Developers 網站政策》。Java 是 Oracle 和/或其關聯企業的註冊商標。
上次更新時間:2025-03-11 (世界標準時間)。
[null,null,["上次更新時間:2025-03-11 (世界標準時間)。"],[[["\u003cp\u003eThis webpage provides a quiz to test your understanding of linear regression and allows you to earn a badge upon completion.\u003c/p\u003e\n"],["\u003cp\u003eAfter completing this module, it is recommended to proceed to the Logistic Regression module for further learning within the Machine Learning Crash Course.\u003c/p\u003e\n"]]],[],null,["# Linear regression: Test your knowledge\n\n\u003cbr /\u003e\n\n|\n| Take this quiz to test your knowledge of linear regression concepts and earn the Linear Regression badge! \n| [Open quiz](/machine-learning/crash-course/linear-regression/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**[Logistic regression](/machine-learning/crash-course/logistic-regression)**.\n\n*** ** * ** ***\n\n[Help Center](https://support.google.com/machinelearningeducation)"]]