The data science workshop: a new, interactive approach to learning data science
bCut through the noise and get real results with a step-by-step approach to data science/b h4Key Features/h4 ulliIdeal for the data science beginner who is getting started for the first time /li liA data science tutorial with step-by-step exercises and activities that help build key skills /li liStr...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt
January 2020
|
| Ausgabe: | First edition |
| Schlagworte: | |
| Online-Zugang: | FAN01 UBY01 UER01 |
| Zusammenfassung: | bCut through the noise and get real results with a step-by-step approach to data science/b h4Key Features/h4 ulliIdeal for the data science beginner who is getting started for the first time /li liA data science tutorial with step-by-step exercises and activities that help build key skills /li liStructured to let you progress at your own pace, on your own terms /li liUse your physical print copy to redeem free access to the online interactive edition/li/ul h4Book Description/h4 You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results. Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book. Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. h4What you will learn/h4 ulliFind out the key differences between supervised and unsupervised learning /li liManipulate and analyze data using scikit-learn and pandas libraries /li liLearn about different algorithms such as regression, classification, and clustering /li liDiscover advanced techniques to improve model ensembling and accuracy /li liSpeed up the process of creating new features with automated feature tool /li liSimplify machine learning using open source Python packages/li/ul h4Who this book is for/h4 Our goal at Packt is to help you be successful, in whatever it is you choose to do. |
| Beschreibung: | 1 Online-Ressource (ix, 777 Seiten) |
| ISBN: | 9781838983086 |
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| 520 | |a Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book. | ||
| 520 | |a Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. h4What you will learn/h4 ulliFind out the key differences between supervised and unsupervised learning /li liManipulate and analyze data using scikit-learn and pandas libraries /li liLearn about different algorithms such as regression, classification, and clustering /li liDiscover advanced techniques to improve model ensembling and accuracy /li liSpeed up the process of creating new features with automated feature tool /li liSimplify machine learning using open source Python packages/li/ul h4Who this book is for/h4 Our goal at Packt is to help you be successful, in whatever it is you choose to do. | ||
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Datensatz im Suchindex
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| spelling | So, Anthony Verfasser aut The data science workshop a new, interactive approach to learning data science Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, and Dr. Samuel Asare First edition Birmingham Packt January 2020 1 Online-Ressource (ix, 777 Seiten) txt rdacontent c rdamedia cr rdacarrier bCut through the noise and get real results with a step-by-step approach to data science/b h4Key Features/h4 ulliIdeal for the data science beginner who is getting started for the first time /li liA data science tutorial with step-by-step exercises and activities that help build key skills /li liStructured to let you progress at your own pace, on your own terms /li liUse your physical print copy to redeem free access to the online interactive edition/li/ul h4Book Description/h4 You already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results. Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book. Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. h4What you will learn/h4 ulliFind out the key differences between supervised and unsupervised learning /li liManipulate and analyze data using scikit-learn and pandas libraries /li liLearn about different algorithms such as regression, classification, and clustering /li liDiscover advanced techniques to improve model ensembling and accuracy /li liSpeed up the process of creating new features with automated feature tool /li liSimplify machine learning using open source Python packages/li/ul h4Who this book is for/h4 Our goal at Packt is to help you be successful, in whatever it is you choose to do. COMPUTERS / Data Processing COMPUTERS / Data Visualization Big Data (DE-588)4802620-7 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Python 3.x (DE-588)7692360-5 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 s Data Science (DE-588)1140936166 s DE-604 Big Data (DE-588)4802620-7 s Python 3.x (DE-588)7692360-5 s Maschinelles Lernen (DE-588)4193754-5 s Joseph, Thomas V. Sonstige oth John, Robert Thas Sonstige oth Worsley, Andrew Sonstige oth Asare, Samuel Sonstige oth Erscheint auch als Druck-Ausgabe 9781838981266 |
| spellingShingle | So, Anthony The data science workshop a new, interactive approach to learning data science COMPUTERS / Data Processing COMPUTERS / Data Visualization Big Data (DE-588)4802620-7 gnd Datenverarbeitung (DE-588)4011152-0 gnd Data Science (DE-588)1140936166 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Python 3.x (DE-588)7692360-5 gnd |
| subject_GND | (DE-588)4802620-7 (DE-588)4011152-0 (DE-588)1140936166 (DE-588)4193754-5 (DE-588)7692360-5 |
| title | The data science workshop a new, interactive approach to learning data science |
| title_auth | The data science workshop a new, interactive approach to learning data science |
| title_exact_search | The data science workshop a new, interactive approach to learning data science |
| title_exact_search_txtP | The data science workshop a new, interactive approach to learning data science |
| title_full | The data science workshop a new, interactive approach to learning data science Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, and Dr. Samuel Asare |
| title_fullStr | The data science workshop a new, interactive approach to learning data science Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, and Dr. Samuel Asare |
| title_full_unstemmed | The data science workshop a new, interactive approach to learning data science Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, and Dr. Samuel Asare |
| title_short | The data science workshop |
| title_sort | the data science workshop a new interactive approach to learning data science |
| title_sub | a new, interactive approach to learning data science |
| topic | COMPUTERS / Data Processing COMPUTERS / Data Visualization Big Data (DE-588)4802620-7 gnd Datenverarbeitung (DE-588)4011152-0 gnd Data Science (DE-588)1140936166 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Python 3.x (DE-588)7692360-5 gnd |
| topic_facet | COMPUTERS / Data Processing COMPUTERS / Data Visualization Big Data Datenverarbeitung Data Science Maschinelles Lernen Python 3.x |
| work_keys_str_mv | AT soanthony thedatascienceworkshopanewinteractiveapproachtolearningdatascience AT josephthomasv thedatascienceworkshopanewinteractiveapproachtolearningdatascience AT johnrobertthas thedatascienceworkshopanewinteractiveapproachtolearningdatascience AT worsleyandrew thedatascienceworkshopanewinteractiveapproachtolearningdatascience AT asaresamuel thedatascienceworkshopanewinteractiveapproachtolearningdatascience |