Data science using Python and R / (Record no. 649121)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04155cam a2200613 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1089273491 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250919141840.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr ||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190227t20192019njua ob 001 0 eng |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER | |
| National bibliography number | GBB956595 |
| Source | bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER | |
| Record control number | 019327510 |
| Source | Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119526841 |
| Qualifying information | (electronic book) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119526841 |
| Qualifying information | (electronic book) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119526834 |
| Qualifying information | (electronic book) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119526833 |
| Qualifying information | (electronic book) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119526865 |
| Qualifying information | (electronic book) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119526868 |
| Qualifying information | (electronic book) |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000065306712 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | CHNEW |
| System control number | 001050875 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | CHVBK |
| System control number | 567422283 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | UKMGB |
| System control number | 019327510 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000066105039 |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 9781119526841 |
| Source of stock number/acquisition | Wiley |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DLC |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | DLC |
| Modifying agency | OCLCO |
| -- | NST |
| -- | YDX |
| -- | EBLCP |
| -- | DG1 |
| -- | YDX |
| -- | UKMGB |
| -- | RECBK |
| -- | UKAHL |
| -- | OCLCF |
| -- | OCLCQ |
| -- | COO |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | QA76.9.D343 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) | L376 2019 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Larose, Chantal D., |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Data science using Python and R / |
| Statement of responsibility, etc. | Chantal D. Larose, Daniel T. Larose. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Hoboken, NJ : |
| Name of producer, publisher, distributor, manufacturer | John Wiley & Sons, Inc, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2019. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xvii, 238 pages) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | n |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | nc |
| Source | rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 588 0# - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Online resource; title from digital title page (viewed on April 03, 2019). |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world's two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist'the hottest job in America.' Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naIve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining. Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars. Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | R (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data structures (Computer science) |
| 655 #0 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Larose, Daniel T., |
| Relator term | author. |
| 773 0# - HOST ITEM ENTRY | |
| Main entry heading | |
| Title | Wiley e-books |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Larose, Chantal D. |
| Title | Data science using Python and R. |
| Place, publisher, and date of publication | Hoboken, NJ : John Wiley & Sons, Inc, 2019 |
| International Standard Book Number | 9781119526810 |
| Record control number | (DLC) 2019007280 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1002/9781119526865">https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1002/9781119526865</a> |
| Public note | Wiley Online Library |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b16817126 |
| b | 2022-10-05 |
| c | 2020-07-17 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Suppress in OPAC | No |
| Call number prefix | QA76.9.D343 L376 2019 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Library | |
| Operator's initials, OID (RLIN) | 2020-07-17 |
| Cataloger's initials, CIN (RLIN) | m |
| Material Type (Sierra) | E-Book |
| Language | English |
| Country | |
| -- | 0 |
| -- | .b16817126 |
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