Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series) [Hardcover]
86,06 €
Linear Regression 4.1 Prerequisites 4.2 Simple linear regression 4.2.1 Estimation 4.2.2 Inference 4.3 Multiple linear regression 4.4 Assessing model accuracy 4.5 Model concerns 4.6 Principal component regression 4.7 Partial least squares 4.8 Feature interpretation 4.9 Final thoughts5.
Jetzt bei Ebay:
![Produktbild - Geocomputation with R [Chapman & Hall/CRC The R Series]](https://i.ebayimg.com/thumbs/images/g/nEYAAOSw~Kpf~a92/s-l140.jpg)
![Produktbild - Learning Microeconometrics with R (Chapman & Hall/CRC The R Series) [Hardback]](https://i.ebayimg.com/thumbs/images/g/JyUAAOSw7RRmr9Ka/s-l140.jpg)
![Produktbild - Graphical Data Analysis with R (Chapman & Hall/CRC: The R Series) [Hardback]](https://i.ebayimg.com/thumbs/images/g/-AUAAOSwn6VnGhUk/s-l140.jpg)
![Produktbild - Statistics in Toxicology Using R (Chapman & Hall/CRC: The R Series) [Hardback]](https://i.ebayimg.com/thumbs/images/g/GJUAAOSwjs1nW5bt/s-l140.jpg)
![Produktbild - Dose-Response Analysis Using R (Chapman & Hall/CRC: The R Series) [Hardback]](https://i.ebayimg.com/thumbs/images/g/caUAAOSw1-Rm9e0D/s-l140.jpg)
![Produktbild - R Markdown Cookbook (Chapman & Hall/CRC The R Series) by Xie, Yihui [Hardback]](https://i.ebayimg.com/thumbs/images/g/fKYAAOSwKJhnNKsi/s-l140.jpg)