Introduction to Machine learning with Python: a guide for data Scientists/ Andreas C Muller &: Sarah Guido, English
Material type:
- 23 005.133 MUL
Contents:
1.Introduction
2.Supervised learning
3.Unsupervised learning and preprocessing
4.Representing data and engineering features
5.Model evalution and Improvement
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Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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Tetso College Library Computer Science | Non-fiction | 005.133 MUL (Browse shelf(Opens below)) | Available | 11356 |
1.Introduction
2.Supervised learning
3.Unsupervised learning and preprocessing
4.Representing data and engineering features
5.Model evalution and Improvement
..................
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