Machine Learning in Python essential techniques for predictive analysis / Michael Bowles.
| Author/creator | Bowles, Michael |
| Format | Electronic |
| Publication Info | Indianapolis, IN : John Wiley & Sons, Inc., 2015. |
| Description | xxix, 326 pages : illustrations ; 24 cm |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Contents | The two essential algorithms for making predictions -- Understand the problem by understanding the data -- Predictive model building : balancing performance, complexity, and big data -- Penalized linear regression -- Building predictive models using penalized linear methods -- Ensemble methods -- Building ensemble models with Python. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2015930541 |
| ISBN | 9781118961742 (paperback) |
| ISBN | 1118961749 (paperback) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |