Description: Further DetailsTitle: Hands-On Data Analysis with PandasCondition: NewSubtitle: A Python data science handbook for data collection, wrangling, analysis, and visualizationEAN: 9781800563452ISBN: 9781800563452Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 04/29/2021Description: Get to grips with pandas by working with real datasets and master data discovery, data manipulation, data preparation, and handling data for analytical tasksKey FeaturesPerform efficient data analysis and manipulation tasks using pandas 1.xApply pandas to different real-world domains with the help of step-by-step examplesMake the most of pandas as an effective data exploration toolBook DescriptionExtracting valuable business insights is no longer a ‘nice-to-have’, but an essential skill for anyone who handles data in their enterprise. Hands-On Data Analysis with Pandas is here to help beginners and those who are migrating their skills into data science get up to speed in no time.This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn.Using real-world datasets, you will learn how to use the pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data.This updated edition will equip you with the skills you need to use pandas 1.x to efficiently perform various data manipulation tasks, reliably reproduce analyses, and visualize your data for effective decision making – valuable knowledge that can be applied across multiple domains.What you will learnUnderstand how data analysts and scientists gather and analyze dataPerform data analysis and data wrangling using PythonCombine, group, and aggregate data from multiple sourcesCreate data visualizations with pandas, matplotlib, and seabornApply machine learning algorithms to identify patterns and make predictionsUse Python data science libraries to analyze real-world datasetsSolve common data representation and analysis problems using pandasBuild Python scripts, modules, and packages for reusable analysis codeWho this book is forThis book is for data science beginners, data analysts, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. Data scientists looking to implement pandas in their machine learning workflow will also find plenty of valuable know-how as they progress.You’ll find it easier to follow along with this book if you have a working knowledge of the Python programming language, but a Python crash-course tutorial is provided in the code bundle for anyone who needs a refresher.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Stefanie MolinGenre: Computing & InternetISBN-10: 1800563450Contributor: Ken Jee (Foreword by)Release Year: 2021 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Hands-On Data Analysis with Pandas
Title: Hands-On Data Analysis with Pandas
Subtitle: A Python data science handbook for data collection, wrangling, an
EAN: 9781800563452
ISBN: 9781800563452
Release Date: 04/29/2021
Release Year: 2021
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 1800563450
Contributor: Ken Jee (Foreword by)
Number of Pages: 788 Pages
Publication Name: Hands-On Data Analysis with Pandas : A Python Data Science Handbook for Data Collection, Wrangling, Analysis, and Visualization, 2nd Edition
Language: English
Publisher: Packt Publishing, The Limited
Publication Year: 2021
Subject: Data Visualization, Data Processing, Databases / Data Mining
Type: Textbook
Item Length: 3.6 in
Subject Area: Computers
Author: Stefanie Molin
Item Width: 3 in
Format: Trade Paperback
