Python Data Science Essentials Ebook Tooltip A practitioner’s guide covering essential data science principles, tools, and techniques, 3rd Edition

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  • Engels
  • E-book
  • 9781789531893
  • 28 september 2018
  • Adobe ePub
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Samenvatting

Gain useful insights from your data using popular data science tools

Key Features
  • A one-stop guide to Python libraries such as pandas and NumPy
  • Comprehensive coverage of data science operations such as data cleaning and data manipulation
  • Choose scalable learning algorithms for your data science tasks
Book Description

Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas, and scikit-learn.

The book covers detailed examples and large hybrid datasets to help you grasp essential statistical techniques for data collection, data munging and analysis, visualization, and reporting activities. You will also gain an understanding of advanced data science topics such as machine learning algorithms, distributed computing, tuning predictive models, and natural language processing. Furthermore, You’ll also be introduced to deep learning and gradient boosting solutions such as XGBoost, LightGBM, and CatBoost.

By the end of the book, you will have gained a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users

What you will learn
  • Set up your data science toolbox on Windows, Mac, and Linux
  • Use the core machine learning methods offered by the scikit-learn library
  • Manipulate, fix, and explore data to solve data science problems
  • Learn advanced explorative and manipulative techniques to solve data operations
  • Optimize your machine learning models for optimized performance
  • Explore and cluster graphs, taking advantage of interconnections and links in your data
Who this book is for

If you’re a data science entrant, data analyst, or data engineer, this book will help you get ready to tackle real-world data science problems without wasting any time. Basic knowledge of probability/statistics and Python coding experience will assist you in understanding the concepts covered in this book.

Productspecificaties

Inhoud

Taal
en
Bindwijze
E-book
Oorspronkelijke releasedatum
28 september 2018
Ebook Formaat
Adobe ePub
Illustraties
Nee

Betrokkenen

Hoofdauteur
Alberto Boschetti
Tweede Auteur
Luca Massaron
Hoofduitgeverij
Packt Publishing

Lees mogelijkheden

Lees dit ebook op
Desktop (Mac en Windows) | Kobo e-reader | Android (smartphone en tablet) | iOS (smartphone en tablet) | Windows (smartphone en tablet)

Overige kenmerken

Editie
3
Product breedte
184 mm
Product hoogte
13 mm
Product lengte
229 mm
Studieboek
Nee
Verpakking hoogte
14 mm
Verpakkingsgewicht
476 g

EAN

EAN
9781789531893

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