Practical data science cookbook: 89 hands-on recipes to help you complete real-world data science projects in R and Python
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham
Packt Publishing
2014
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| Subjects: | |
| Item Description: | Print version record |
| Physical Description: | 1 online resource |
| ISBN: | 9781783980253 1783980257 9781322166063 1322166064 |
Staff View
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| author | Ojeda, Tony |
| author_facet | Ojeda, Tony |
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| bvnumber | BV045350905 |
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| contents | If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of data science projects, the steps in the data science pipeline, and the programming examples presented in this book. Since the book is formatted to walk you through the projects with examples and explanations along the way, no prior programming experience is required |
| ctrlnum | (ZDB-4-ITC)ocn892044301 (OCoLC)892044301 (DE-599)BVBBV045350905 |
| dewey-full | 005.117 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.117 |
| dewey-search | 005.117 |
| dewey-sort | 15.117 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV045350905 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:15:42Z |
| institution | BVB |
| isbn | 9781783980253 1783980257 9781322166063 1322166064 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030737559 |
| oclc_num | 892044301 |
| open_access_boolean | |
| physical | 1 online resource |
| psigel | ZDB-4-ITC |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Ojeda, Tony Verfasser aut Practical data science cookbook 89 hands-on recipes to help you complete real-world data science projects in R and Python Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta Birmingham Packt Publishing 2014 1 online resource txt rdacontent c rdamedia cr rdacarrier Print version record If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of data science projects, the steps in the data science pipeline, and the programming examples presented in this book. Since the book is formatted to walk you through the projects with examples and explanations along the way, no prior programming experience is required COMPUTERS / Programming / General bisacsh Data mining fast Mathematical statistics / Data processing fast Object-oriented programming (Computer science) fast Python (Computer program language) fast R (Computer program language) fast Object-oriented programming (Computer science) Data mining Mathematical statistics Data processing Python (Computer program language) R (Computer program language) Murphy, Sean Patrick Sonstige oth Bengfort, Benjamin Sonstige oth Dasgupta, Abhijit Sonstige oth Erscheint auch als Druck-Ausgabe Ojeda, Tony Practical data science cookbook Birmingham : Packt Publishing, 2014 9781783980253 |
| spellingShingle | Ojeda, Tony Practical data science cookbook 89 hands-on recipes to help you complete real-world data science projects in R and Python If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of data science projects, the steps in the data science pipeline, and the programming examples presented in this book. Since the book is formatted to walk you through the projects with examples and explanations along the way, no prior programming experience is required COMPUTERS / Programming / General bisacsh Data mining fast Mathematical statistics / Data processing fast Object-oriented programming (Computer science) fast Python (Computer program language) fast R (Computer program language) fast Object-oriented programming (Computer science) Data mining Mathematical statistics Data processing Python (Computer program language) R (Computer program language) |
| title | Practical data science cookbook 89 hands-on recipes to help you complete real-world data science projects in R and Python |
| title_auth | Practical data science cookbook 89 hands-on recipes to help you complete real-world data science projects in R and Python |
| title_exact_search | Practical data science cookbook 89 hands-on recipes to help you complete real-world data science projects in R and Python |
| title_full | Practical data science cookbook 89 hands-on recipes to help you complete real-world data science projects in R and Python Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta |
| title_fullStr | Practical data science cookbook 89 hands-on recipes to help you complete real-world data science projects in R and Python Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta |
| title_full_unstemmed | Practical data science cookbook 89 hands-on recipes to help you complete real-world data science projects in R and Python Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta |
| title_short | Practical data science cookbook |
| title_sort | practical data science cookbook 89 hands on recipes to help you complete real world data science projects in r and python |
| title_sub | 89 hands-on recipes to help you complete real-world data science projects in R and Python |
| topic | COMPUTERS / Programming / General bisacsh Data mining fast Mathematical statistics / Data processing fast Object-oriented programming (Computer science) fast Python (Computer program language) fast R (Computer program language) fast Object-oriented programming (Computer science) Data mining Mathematical statistics Data processing Python (Computer program language) R (Computer program language) |
| topic_facet | COMPUTERS / Programming / General Data mining Mathematical statistics / Data processing Object-oriented programming (Computer science) Python (Computer program language) R (Computer program language) Object-oriented programming (Computer science) Data mining Mathematical statistics Data processing Python (Computer program language) R (Computer program language) |
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