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Beginning Data Analysis with Python And Jupyter: Use powerful industry-standard tools to unlock new, actionable insight from your existing data - Couverture souple
Synopsis
Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.
Key Features
- Get up and running with the Jupyter ecosystem and some example datasets
- Learn about key machine learning concepts like SVM, KNN classifiers and Random Forests
- Discover how you can use web scraping to gather and parse your own bespoke datasets
Book Description
Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context.
What you will learn
- Identify potential areas of investigation and perform exploratory data analysis
- Plan a machine learning classification strategy and train classification models
- Use validation curves and dimensionality reduction to tune and enhance your models
- Scrape tabular data from web pages and transform it into Pandas DataFrames
- Create interactive, web-friendly visualizations to clearly communicate your findings
Who This Book Is For
This book is ideal for professionals with a variety of job descriptions across large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries like Pandas, Matplotlib and Pandas providing you a useful head start.
Table of Contents
- Jupyter Fundamentals
- Data Cleaning and Advanced Machine Learning
- Web Scraping and Interactive Visualizations
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Beginning Data Analysis with Python And Jupyter: Use powerful industry-standard tools to unlock new, actionable insight from your existing data
Edité par
Packt Publishing, 2018
ISBN 10 : 1789532027
ISBN 13 : 9781789532029
Ancien ou d'occasion
Paperback
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Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.76. N° de réf. du vendeur G1789532027I4N00
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Beginning Data Science with Python and Jupyter
Edité par
Packt Publishing Limited, GB, 2023
ISBN 10 : 1789532027
ISBN 13 : 9781789532029
Neuf
Digital
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Digital. Etat : New. Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.About This Book. Get up and running with the Jupyter ecosystem and some example datasets. Learn about key machine learning concepts like SVM, KNN classifiers and Random Forests. Discover how you can use web scraping to gather and parse your own bespoke datasets Who This Book Is ForThis book is ideal for professionals with a variety of job descriptions across large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries like Pandas, Matplotlib and Pandas providing you a useful head start.What You Will Learn. Identify potential areas of investigation and perform exploratory data analysis. Plan a machine learning classification strategy and train classification models. Use validation curves and dimensionality reduction to tune and enhance your models. Scrape tabular data from web pages and transform it into Pandas DataFrames. Create interactive, web-friendly visualizations to clearly communicate your findings In DetailGet to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context.Style and approachThis book covers every aspect of the standard data-workflow process within a day, along with theory, practical hands-on coding, and relatable illustrations. N° de réf. du vendeur LU-9781789532029
Quantité disponible : Plus de 20 disponibles
Image d'archives
Beginning Data Analysis with Python And Jupyter: Use powerful industry-standard tools to unlock new, actionable insight from your existing data
Edité par
Packt Publishing, 2018
ISBN 10 : 1789532027
ISBN 13 : 9781789532029
Neuf
Couverture souple
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9781789532029_new
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Beginning Data Analysis with Python And Jupyter
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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9781789532029
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Beginning Data Analysis with Python And Jupyter
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9781789532029
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Beginning Data Analysis with Python And Jupyter: Use powerful industry-standard tools to unlock new, actionable insight from your existing data
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Beginning Data Science with Python and Jupyter
Edité par
Packt Publishing Limited, GB, 2023
ISBN 10 : 1789532027
ISBN 13 : 9781789532029
Neuf
Digital
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Digital. Etat : New. Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.About This Book. Get up and running with the Jupyter ecosystem and some example datasets. Learn about key machine learning concepts like SVM, KNN classifiers and Random Forests. Discover how you can use web scraping to gather and parse your own bespoke datasets Who This Book Is ForThis book is ideal for professionals with a variety of job descriptions across large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries like Pandas, Matplotlib and Pandas providing you a useful head start.What You Will Learn. Identify potential areas of investigation and perform exploratory data analysis. Plan a machine learning classification strategy and train classification models. Use validation curves and dimensionality reduction to tune and enhance your models. Scrape tabular data from web pages and transform it into Pandas DataFrames. Create interactive, web-friendly visualizations to clearly communicate your findings In DetailGet to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context.Style and approachThis book covers every aspect of the standard data-workflow process within a day, along with theory, practical hands-on coding, and relatable illustrations. N° de réf. du vendeur LU-9781789532029
Quantité disponible : Plus de 20 disponibles
Image d'archives
Beginning Data Science with Python and Jupyter: Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
Edité par
Packt Publishing Limited, 2018
ISBN 10 : 1789532027
ISBN 13 : 9781789532029
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 380. N° de réf. du vendeur C9781789532029
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Beginning Data Analysis with Python And Jupyter: Use powerful industry-standard tools to unlock new, actionable insight from your existing data (Paperback or Softback)
Edité par
Packt Publishing 5/29/2018, 2018
ISBN 10 : 1789532027
ISBN 13 : 9781789532029
Neuf
Paperback or Softback
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
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Paperback or Softback. Etat : New. Beginning Data Analysis with Python And Jupyter: Use powerful industry-standard tools to unlock new, actionable insight from your existing data 0.76. Book. N° de réf. du vendeur BBS-9781789532029
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Beginning Data Science with Python and Jupyter: Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
Edité par
Packt Publishing, 2018
ISBN 10 : 1789532027
ISBN 13 : 9781789532029
Neuf
Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Print on Demand pp. 194. N° de réf. du vendeur 370377264
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