文件名称：ml-deployment-practice：使用Flask和Heroku部署ML模型时的实践学习最佳实践
文件大小：1.36MB
文件格式：ZIP
更新时间：2024-03-13 21:27:38
JupyterNotebook
ml部署实践 使用Flask和Heroku部署ML模型时的实践/学习最佳实践。
【文件预览】：
ml-deployment-practice-main
----Section-4-Writing-Production-Code()
--------CustomPipeline()
--------ProceduralPrograming()
--------ThirdPartyPipeline()
----Assignments()
--------Section-02()
--------Section-04()
----Section-2-Machine-Learning-Pipeline-Overview()
--------lasso_regression.pkl(790B)
--------Machine-Learning-Pipeline-Step2-Feature-Engineering.ipynb(423KB)
--------Machine-Learning-Pipeline-Step1-DataAnalysis.ipynb(1.38MB)
--------Machine-Learning-Pipeline-WrapUp-for-Model-Deployment.ipynb(71KB)
--------Machine-Learning-Pipeline-Step3-Feature-Selection.ipynb(38KB)
--------Machine-Learning-Pipeline-Step4-Model-Building.ipynb(94KB)
--------SAVE_DATASET_HERE.txt(0B)
----data()
--------.DS_Store(6KB)
--------houseprice.csv(450KB)
----LICENSE(16KB)
----.DS_Store(6KB)
----.gitignore(2KB)
----README.md(110B)