- Hands-On Machine Learning with ML.NET
- Jarred Capellman
- 106字
- 2021-06-24 16:43:32
Creating the linear regression application
As mentioned earlier, the application we will be creating is an employee attrition predictor. Given a set of attributes tied to an employee, we can predict how long they will remain at their current job. The attributes included in this example aren't a definitive list of attributes, nor should be used as-is in a production environment; however, we can use this as a starting point for predicting a singular numeric output based on several attributes.
As with Chapter 1, Getting Started with Machine Learning and ML.NET, the completed project code, sample dataset, and project files can be downloaded here: https://github.com/PacktPublishing/Hands-On-Machine-Learning-With-ML.NET/tree/master/chapter03_linear_regression.
推薦閱讀
- Dynamics 365 for Finance and Operations Development Cookbook(Fourth Edition)
- The Supervised Learning Workshop
- Python 3.7網絡爬蟲快速入門
- C語言程序設計案例教程(第2版)
- Visual Studio 2012 Cookbook
- Android Application Development Cookbook(Second Edition)
- NumPy Essentials
- VSTO開發入門教程
- Java Web程序設計
- 零基礎學MQL:基于EA的自動化交易編程
- C語言程序設計
- Test-Driven Machine Learning
- 零基礎學Kotlin之Android項目開發實戰
- SciPy Recipes
- 百萬在線:大型游戲服務端開發