The Applied Data Science Workshop: Get started with the applications of data science and techniques to explore and assess data effectively
bDesigned with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality to understand how data science can be applied to solve real-world data problems./b h4Key Features/h4 ulliGain useful insights into data science and machine learni...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2020
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| Ausgabe: | 2 |
| Schlagworte: | |
| Zusammenfassung: | bDesigned with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality to understand how data science can be applied to solve real-world data problems./b h4Key Features/h4 ulliGain useful insights into data science and machine learning/li liExplore the different functionalities and features of a Jupyter Notebook/li liDiscover how Python libraries are used with Jupyter for data analysis/li/ul h4Book Description/h4 From banking and manufacturing through to education and entertainment, using data science for business has revolutionized almost every sector in the modern world. It has an important role to play in everything from app development to network security. Taking an interactive approach to learning the fundamentals, this book is ideal for beginners. You'll learn all the best practices and techniques for applying data science in the context of real-world scenarios and examples. Starting with an introduction to data science and machine learning, you'll start by getting to grips with Jupyter functionality and features. You'll use Python libraries like sci-kit learn, pandas, Matplotlib, and Seaborn to perform data analysis and data preprocessing on real-world datasets from within your own Jupyter environment. Progressing through the chapters, you'll train classification models using sci-kit learn, and assess model performance using advanced validation techniques. Towards the end, you'll use Jupyter Notebooks to document your research, build stakeholder reports, and even analyze web performance data. By the end of The Applied Data Science Workshop, you'll be prepared to progress from being a beginner to taking your skills to the next level by confidently applying data science techniques and tools to real-world projects. h4What you will learn/h4 ulliUnderstand the key opportunities and challenges in data science/li liUse Jupyter for data science tasks such as data analysis and modeling/li liRun exploratory data analysis within a Jupyter Notebook/li liVisualize data with pairwise scatter plots and segmented distribution/li liAssess model performance with advanced validation techniques/li liParse HTML responses and analyze HTTP requests/li/ul h4Who this book is for/h4 If you are an aspiring data scientist who wants to build a career in data science or a developer who wants to explore the applications of data science from scratch and analyze data in Jupyter using Python libraries, then this book is for you. Although a brief understanding of Python programming and machine learning is recommended to help you grasp the topics covered in the book more quickly, it is not mandatory |
| Beschreibung: | 1 Online-Ressource (352 Seiten) |
| ISBN: | 9781800207004 |
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| 520 | |a bDesigned with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality to understand how data science can be applied to solve real-world data problems./b h4Key Features/h4 ulliGain useful insights into data science and machine learning/li liExplore the different functionalities and features of a Jupyter Notebook/li liDiscover how Python libraries are used with Jupyter for data analysis/li/ul h4Book Description/h4 From banking and manufacturing through to education and entertainment, using data science for business has revolutionized almost every sector in the modern world. It has an important role to play in everything from app development to network security. Taking an interactive approach to learning the fundamentals, this book is ideal for beginners. You'll learn all the best practices and techniques for applying data science in the context of real-world scenarios and examples. | ||
| 520 | |a Starting with an introduction to data science and machine learning, you'll start by getting to grips with Jupyter functionality and features. You'll use Python libraries like sci-kit learn, pandas, Matplotlib, and Seaborn to perform data analysis and data preprocessing on real-world datasets from within your own Jupyter environment. Progressing through the chapters, you'll train classification models using sci-kit learn, and assess model performance using advanced validation techniques. Towards the end, you'll use Jupyter Notebooks to document your research, build stakeholder reports, and even analyze web performance data. By the end of The Applied Data Science Workshop, you'll be prepared to progress from being a beginner to taking your skills to the next level by confidently applying data science techniques and tools to real-world projects. | ||
| 520 | |a h4What you will learn/h4 ulliUnderstand the key opportunities and challenges in data science/li liUse Jupyter for data science tasks such as data analysis and modeling/li liRun exploratory data analysis within a Jupyter Notebook/li liVisualize data with pairwise scatter plots and segmented distribution/li liAssess model performance with advanced validation techniques/li liParse HTML responses and analyze HTTP requests/li/ul h4Who this book is for/h4 If you are an aspiring data scientist who wants to build a career in data science or a developer who wants to explore the applications of data science from scratch and analyze data in Jupyter using Python libraries, then this book is for you. Although a brief understanding of Python programming and machine learning is recommended to help you grasp the topics covered in the book more quickly, it is not mandatory | ||
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| spelling | Galea, Alex Verfasser aut The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively Galea, Alex 2 Birmingham Packt Publishing Limited 2020 1 Online-Ressource (352 Seiten) txt rdacontent c rdamedia cr rdacarrier bDesigned with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality to understand how data science can be applied to solve real-world data problems./b h4Key Features/h4 ulliGain useful insights into data science and machine learning/li liExplore the different functionalities and features of a Jupyter Notebook/li liDiscover how Python libraries are used with Jupyter for data analysis/li/ul h4Book Description/h4 From banking and manufacturing through to education and entertainment, using data science for business has revolutionized almost every sector in the modern world. It has an important role to play in everything from app development to network security. Taking an interactive approach to learning the fundamentals, this book is ideal for beginners. You'll learn all the best practices and techniques for applying data science in the context of real-world scenarios and examples. Starting with an introduction to data science and machine learning, you'll start by getting to grips with Jupyter functionality and features. You'll use Python libraries like sci-kit learn, pandas, Matplotlib, and Seaborn to perform data analysis and data preprocessing on real-world datasets from within your own Jupyter environment. Progressing through the chapters, you'll train classification models using sci-kit learn, and assess model performance using advanced validation techniques. Towards the end, you'll use Jupyter Notebooks to document your research, build stakeholder reports, and even analyze web performance data. By the end of The Applied Data Science Workshop, you'll be prepared to progress from being a beginner to taking your skills to the next level by confidently applying data science techniques and tools to real-world projects. h4What you will learn/h4 ulliUnderstand the key opportunities and challenges in data science/li liUse Jupyter for data science tasks such as data analysis and modeling/li liRun exploratory data analysis within a Jupyter Notebook/li liVisualize data with pairwise scatter plots and segmented distribution/li liAssess model performance with advanced validation techniques/li liParse HTML responses and analyze HTTP requests/li/ul h4Who this book is for/h4 If you are an aspiring data scientist who wants to build a career in data science or a developer who wants to explore the applications of data science from scratch and analyze data in Jupyter using Python libraries, then this book is for you. Although a brief understanding of Python programming and machine learning is recommended to help you grasp the topics covered in the book more quickly, it is not mandatory COMPUTERS / Data Visualization COMPUTERS / Programming Languages / Python |
| spellingShingle | Galea, Alex The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively COMPUTERS / Data Visualization COMPUTERS / Programming Languages / Python |
| title | The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively |
| title_auth | The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively |
| title_exact_search | The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively |
| title_exact_search_txtP | The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively |
| title_full | The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively Galea, Alex |
| title_fullStr | The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively Galea, Alex |
| title_full_unstemmed | The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively Galea, Alex |
| title_short | The Applied Data Science Workshop |
| title_sort | the applied data science workshop get started with the applications of data science and techniques to explore and assess data effectively |
| title_sub | Get started with the applications of data science and techniques to explore and assess data effectively |
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