- Mastering Predictive Analytics with R(Second Edition)
- James D. Miller Rui Miguel Forte
- 67字
- 2021-07-02 20:25:17
Chapter 3. Linear Regression
We've learned from previous chapters that regression problems involve predicting a numerical output. The simplest but most common type of regression is linear regression. In this chapter, we'll explore why linear regression is so commonly used, its limitations, and extensions, and then touch on polynomial regression, which you may consider when a linear relationship isn't a best fit for your circumstances.
推薦閱讀
- Git Version Control Cookbook
- Java完全自學(xué)教程
- Visual Basic程序開(kāi)發(fā)(學(xué)習(xí)筆記)
- Learning AWS Lumberyard Game Development
- Banana Pi Cookbook
- 人人都是網(wǎng)站分析師:從分析師的視角理解網(wǎng)站和解讀數(shù)據(jù)
- SAS數(shù)據(jù)統(tǒng)計(jì)分析與編程實(shí)踐
- C# and .NET Core Test Driven Development
- Java程序設(shè)計(jì)與項(xiàng)目案例教程
- OpenCV Android Programming By Example
- Docker:容器與容器云(第2版)
- Python 快速入門(第3版)
- 實(shí)戰(zhàn)Python網(wǎng)絡(luò)爬蟲
- Managing Windows Servers with Chef
- Jenkins 2.x實(shí)踐指南