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Python Data Science Essentials by Massaron, Luca; Boschetti, Alberto
by Massaron, Luca; Boschetti, Alberto | PB | Acceptable
US $40,71
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Bevindt zich in: Aurora, Illinois, Verenigde Staten
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Specificaties
- Objectstaat
- Redelijk
- Opmerkingen van verkoper
- Binding
- Paperback
- Book Title
- Python Data Science Essentials
- Weight
- 1 lbs
- Product Group
- Book
- IsTextBook
- No
- ISBN
- 9781789537864
Over dit product
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
178953786X
ISBN-13
9781789537864
eBay Product ID (ePID)
9038486314
Product Key Features
Number of Pages
472 Pages
Language
English
Publication Name
Python Data Science Essentials : A Practitioner's Guide Covering Essential Data Science Principles, Tools, and Techniques, 3rd Edition
Subject
Data Modeling & Design, Data Visualization, Data Processing, Databases / General, Programming Languages / Python
Publication Year
2018
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Length
3.6 in
Item Width
3 in
Additional Product Features
Edition Number
3
Intended Audience
Trade
Table Of Content
Table of Contents First Steps Data Munging The Data Pipeline Machine Learning Visualization, Insights, and Results Social Network Analysis Deep Learning Beyond the Basics Spark for Big Data Appendix A: Strengthen Your Python Foundations
Synopsis
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., Python Data Science Essentials, Third Edition provides modern insight in setting up and performing data science operations effectively using the latest python tools and libraries. It builds faster governance on the most essential tasks such as data munging and pre-processing, along with all the techniques you require.
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