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Hands-On Data Analysis with Pandas: A Python data science handbook for data: New
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eBay-Artikelnr.:402896535033
Artikelmerkmale
- Artikelzustand
- Book Title
- Hands-On Data Analysis with Pandas: A Python data science handboo
- Publication Date
- 2021-04-29
- Edition Number
- 2
- ISBN
- 9781800563452
Über dieses Produkt
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
1800563450
ISBN-13
9781800563452
eBay Product ID (ePID)
22050090943
Product Key Features
Number of Pages
788 Pages
Language
English
Publication Name
Hands-On Data Analysis with Pandas : A Python Data Science Handbook for Data Collection, Wrangling, Analysis, and Visualization, 2nd Edition
Subject
Data Visualization, Data Processing, Databases / Data Mining
Publication Year
2021
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Length
3.6 in
Item Width
3 in
Additional Product Features
Edition Number
2
Intended Audience
Trade
Table Of Content
Table of Contents Introduction to Data Analysis Working with Pandas DataFrames Data Wrangling with Pandas Aggregating Pandas DataFrames Visualizing Data with Pandas and Matplotlib Plotting with Seaborn and Customization Techniques Financial Analysis - Bitcoin and the Stock Market Rule-Based Anomaly Detection Getting Started with Machine Learning in Python Making Better Predictions - Optimizing Models Machine Learning Anomaly Detection The Road Ahead
Synopsis
Get to grips with pandas by working with real datasets and master data discovery, data manipulation, data preparation, and handling data for analytical tasks Key Features Perform efficient data analysis and manipulation tasks using pandas 1.x Apply pandas to different real-world domains with the help of step-by-step examples Make the most of pandas as an effective data exploration tool Book Description Extracting 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 learn Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Solve common data representation and analysis problems using pandas Build Python scripts, modules, and packages for reusable analysis code Who this book is for This 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. Table of Contents Introduction to Data Analysis Working with Pandas DataFrames Data Wrangling with Pandas Aggregating Pandas DataFrames Visualizing Data with Pandas and Matplotlib Plotting with Seaborn and Customization Techniques Financial Analysis - Bitcoin and the Stock Market Rule-Based Anomaly Detection Getting Started with Machine Learning in Python Making Better Predictions - Optimizing Models Machine Learning Anomaly Detection The Road Ahead, Get to grips with pandas by working with real datasets and master data discovery, data manipulation, data preparation, and handling data for analytical tasks Key Features Perform efficient data analysis and manipulation tasks using pandas 1.x Apply pandas to different real-world domains with the help of step-by-step examples Make the most of pandas as an effective data exploration tool Book Description Extracting 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 learn Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Solve common data representation and analysis problems using pandas Build Python scripts, modules, and packages for reusable analysis code Who this book is for This 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., Knowing how to work with data to extract insights generates significant value. This book will help you to develop data analysis skills using a hands-on approach and real-world data. You'll get up to speed with pandas 1.x in no time and build some software engineering skills in the process, vastly expanding your data science toolbox.
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- r***g (246)- Bewertung vom Käufer.Letzter MonatBestätigter KaufBook was "nearly new" and "as described" in listing. The advertised price was fair and a good value. Unfortunately, the seller's shipping partner was very slow to get the book packaged and shipped. Shipping took too long, and the tracking info gave no reliable info on shipping date, time in transit or expected delivery. Seller did everything right, but their shipping partner needs improvement. I recommend this seller to other eBay buyers....... just make sure you're okay with the shipping terms.
- e***u (290)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufThe listing was for a hardcover version of this book; however, I received a paperback. The Seller replied quickly to my question about this issue and issued a full refund - and let me keep the book. So, a diligent Seller for sure - and well packaged and reasonable timing on shipping. Thank you for the refund, and as you suggested, I'll likely donate this volume and seek the hardcover.
- a***a (421)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufThis 2DVD set is in perfect condition. Cover art and case like new. Both DVDs played with no flaws. Description was listed as “Good”; I would describe it as “Very Good”, basically Like New. Delivery was super fast and packaging was excellent. The DVD case was wrapped well, then put in a cardboard envelope that was sturdy and hard to open (this is NOT a negative!). I have purchased from this company a few times and have always been very satisfied. Prices are great.
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