Discover techniques to summarize the characteristics of your data using PyPlot; NumPy; SciPy; and pandas
Key Features:
- Understand the fundamental concepts of exploratory data analysis using Python
- Find missing values in your data and identify the correlation between different variables
- Practice graphical exploratory analysis techniques using Matplotlib and the Seaborn Python package
Book Description:
Exploratory Data Analysis (EDA) is an approach to data analysis that involves the application of diverse techniques to gain insights into a dataset. This book will help you gain practical knowledge of the main pillars of EDA - data cleaning; data preparation; data exploration; and data visualization.
You'll start by performing EDA using open source datasets and perform simple to advanced analyses to turn data into meaningful insights. You'll then learn various descriptive statistical techniques to describe the basic characteristics of data and progress to performing EDA on time-series data. As you advance; you'll learn how to implement EDA techniques for model development and evaluation and build predictive models to visualize results. Using Python for data analysis; you'll work with real-world datasets; understand data; summarize its characteristics; and visualize it for business intelligence.
By the end of this EDA book; you'll have developed the skills required to carry out a preliminary investigation on any dataset; yield insights into data; present your results with visual aids; and build a model that correctly predicts future outcomes.
What You Will Learn:
- Import; clean; and explore data to perform preliminary analysis using powerful Python packages
- Identify and transform erroneous data using different data wrangling techniques
- Explore the use of multiple regression to describe non-linear relationships
- Discover hypothesis testing and explore techniques of time-series analysis
- Understand and interpret results obtained from graphical analysis
- Build; train; and optimize predictive models to estimate results
- Perform complex EDA techniques on open source datasets
Who this book is for:
This EDA book is for anyone interested in data analysis; especially students; statisticians; data analysts; and data scientists. The practical concepts presented in this book can be applied in various disciplines to enhance decision-making processes with data analysis and synthesis. Fundamental knowledge of Python programming and statistical concepts is all you need to get started with this book.
Table of Contents
- Exploratory Data Analysis Fundamentals
- Visual Aids for EDA
- EDA with Personal Email
- Data Transformation
- Descriptive Statistics
- Grouping Dataset
- Correlation
- Time Series Analysis
- Hypothesis Testing and Regression
- Model Development and Evaluation
- EDA on Wine Quality Data Analysis
- Appendix
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suresh Kumar Mukhiya is a PhD candidate currently associated with Western Norway University of Applied Sciences (HVL). He is also a web application developer and big data enthusiast specializing in information systems, model-driven software engineering, big data analysis, and artificial intelligence. He has completed a masters in information systems from the Norwegian University of Science and Technology, along with a thesis in processing mining. He also holds a bachelor's degree in computer science and information technology (BSc.CSIT).
Usman Ahmed is a data scientist and Ph.D. candidate at Western Norway University of Applied Science (HVL). He has rich experience in building and scaling high-performance systems based on data mining, natural language processing, and machine learning. Usman's research interests are sequential data mining, heterogeneous computing, natural language processing, a recommendation system, and machine learning. He has completed a Master's of Science in computer science from Capital University of Science and Technology, Islamabad, Pakistan. Usman Ahmed was awarded Gold Medal in Bachelor of Computer Science from Heavy Industries Taxila Education City.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
EUR 6,78 für den Versand von USA nach Deutschland
Versandziele, Kosten & DauerGratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerAnbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Bestandsnummer des Verkäufers 1789537258-11-1
Anzahl: 1 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. This book provides practical knowledge about the main pillars of EDA including data cleaning, data preparation, data exploration, and data visualization. You can leverage the power of Python to understand, summarize and investigate your data in the best way. Bestandsnummer des Verkäufers 448331511
Anzahl: Mehr als 20 verfügbar
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
PF. Zustand: New. Bestandsnummer des Verkäufers 6666-IUK-9781789537253
Anzahl: 10 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides practical knowledge about the main pillars of EDA including data cleaning, data preparation, data exploration, and data visualization. Bestandsnummer des Verkäufers 9781789537253
Anzahl: 1 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 369911247
Anzahl: 4 verfügbar
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New. Bestandsnummer des Verkäufers 41199914-n
Anzahl: Mehr als 20 verfügbar
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 41199914
Anzahl: Mehr als 20 verfügbar
Anbieter: California Books, Miami, FL, USA
Zustand: New. Bestandsnummer des Verkäufers I-9781789537253
Anzahl: Mehr als 20 verfügbar
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9781789537253
Anzahl: Mehr als 20 verfügbar
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Bestandsnummer des Verkäufers ria9781789537253_new
Anzahl: Mehr als 20 verfügbar