Machine learning with python cookbook (Record no. 7677)

000 -LEADER
fixed length control field nam a22 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20181117155228.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181117b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789352137305
040 ## - CATALOGING SOURCE
Transcribing agency AIKTC-KRRC
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title ENG
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number DDC23
Classification number 006.31
Item number ALB
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 5147
Personal name Albon, Chris
245 ## - TITLE STATEMENT
Title Machine learning with python cookbook
Remainder of title : Practical soulutions from preprocessing to deep learning
250 ## - EDITION STATEMENT
Edition statement 1st
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Sebastopol
Name of publisher, distributor, etc. O'Reilly Media, Inc.
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 349p.
Other physical details | Binding - Paperback |
Dimensions 23*17.6 cm
520 ## - SUMMARY, ETC.
Summary, etc. This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.

Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4622
Topical term or geographic name entry element Computer Engineering
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Data Wrangling
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Numerical Data
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Linear Regression
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Text Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type Total Checkouts Date last checked out Total Renewals Checked out
        Not For Loan Reference School of Engineering & Technology School of Engineering & Technology Reference Section 2018-10-13 Medico's Book aid 720.00 006.31 ALB E14611 2024-06-29 900.00 2018-12-04 Text Books        
          Circulation School of Engineering & Technology School of Engineering & Technology General Stacks 2018-10-13 Medico's Book aid 720.00 006.31 ALB E14612 2024-06-29 900.00 2018-12-04 Text Books 3 2021-07-14    
          Circulation School of Engineering & Technology School of Engineering & Technology General Stacks 2018-10-13 Medico's Book aid 720.00 006.31 ALB E14613 2024-06-29 900.00 2018-12-04 Text Books 5 2022-01-01    
          Circulation School of Engineering & Technology School of Engineering & Technology General Stacks 2018-10-13 Medico's Book aid 720.00 006.31 ALB E14614 2024-06-29 900.00 2018-12-04 Text Books 5 2020-03-05    
          Circulation School of Engineering & Technology School of Engineering & Technology General Stacks 2018-10-13 Medico's Book aid 720.00 006.31 ALB E14615 2024-05-31 900.00 2018-12-04 Text Books 13 2024-05-31 1 2024-06-30
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