Python machine learning case studies : five case studies for the data scientist (Record no. 297449)
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000 -LEADER | |
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fixed length control field | 01931nam a22001817a 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781484256909 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.133 |
Item number | HAR-P |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Haroon, Danish |
245 ## - TITLE STATEMENT | |
Title | Python machine learning case studies : five case studies for the data scientist |
Statement of responsibility, etc. | By Danish Haroon |
250 ## - EDITION STATEMENT | |
Edition statement | 1 |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | [Berkeley, CA] : |
Name of publisher, distributor, etc. | Apress, |
Date of publication, distribution, etc. | ©2017 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | i-xvii+204P. |
Other physical details | : illustrations |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | include index |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | Statistics and probability --<br/>Regression --<br/>Time series --<br/>Clustering --<br/>Classification --<br/>Appendix A: Chart types and when to use them. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | <br/>Embrace machine learning approaches and Python to enable automatic rendering of rich insights. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources. Python Machine Learning Case Study takes you through the steps to improve business processes and determine the pivotal points that frame strategies. You'll see machine learning techniques that you can use to support your products and services. Moreover you'll learn the pros and cons of each of the machine learning concepts presented. By taking a step-by-step approach to coding in Python you'll be able to understand the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure th at you understand the data science approach to solving real-world problems. You will: Gain insights into machine learning concepts Work on real-world applications of machine learning Get a hands-on overview to Python from a machine learning point of view. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Machine learning. Python (Computer program language) Programming & scripting languages: general. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
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Dept. of Computational Biology and Bioinformatics | Dept. of Computational Biology and Bioinformatics | Processing Center | 05/10/2021 | 005.133 HAR-P | DCB3966 | 05/10/2021 | 05/10/2021 | Book |