Introduction To Machine Learning With Python Guide For Data Scientists

By:

Muller A.C

Contributor(s):

Guido S

Language: English Publication details: SPD O r'eilly 2017Description: 376ISBN:

9789352134571

Summary: 1. Introduction 2. Supervised Learning 3. Unsupervised Learning and Preprocessing 4. Representing Data and Engineering Features 5. Model Evaluation and 6. Algorithm Chains and Pipelines 7. Working with Text Data 8. Wrapping Up

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Books	Cummins College of Engineering for Women Pune				006.31 MUL (Browse shelf(Opens below))					Available (not for issue)			CCEP-BK-65444

1. Introduction
2. Supervised Learning
3. Unsupervised Learning and Preprocessing
4. Representing Data and Engineering Features
5. Model Evaluation and
6. Algorithm Chains and Pipelines
7. Working with Text Data
8. Wrapping Up

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