Machine Learning in Python : essential techniques for predictive analysis / Michael Bowles.
By: Bowles, Michael [author.]
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Material type: 



Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
Book | BAIUST Library General Stacks | 006.31 B681m (Browse shelf) | 1 | Not For Loan | 010388 | |
Book | BAIUST Library General Stacks | 006.31 B681m (Browse shelf) | 2 | Available | 010389 | |
Book | BAIUST Library General Stacks | 006.31 B681m (Browse shelf) | 3 | Available | 010390 |
Includes bibliographical references and index.
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.
Computer Science and Engineering CSE
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