Description: Further DetailsTitle: Python Data AnalysisCondition: NewSubtitle: Perform data collection, data processing, wrangling, visualization, and model building using PythonEAN: 9781789955248ISBN: 9781789955248Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 01/29/2021Description: Understand data analysis pipelines using machine learning algorithms and techniques with this practical guideKey FeaturesPrepare and clean your data to use it for exploratory analysis, data manipulation, and data wranglingDiscover supervised, unsupervised, probabilistic, and Bayesian machine learning methodsGet to grips with graph processing and sentiment analysisBook Description Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data. With this book, you'll get up and running using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines. Starting with the essential statistical and data analysis fundamentals using Python, you'll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using easy-to-follow examples. You'll then understand how to conduct time series analysis and signal processing using ARMA models. As you advance, you'll get to grips with smart processing and data analytics using machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering. In the concluding chapters, you'll work on real-world examples to analyze textual and image data using natural language processing (NLP) and image analytics techniques, respectively. Finally, the book will demonstrate parallel computing using Dask. By the end of this data analysis book, you'll be equipped with the skills you need to prepare data for analysis and create meaningful data visualizations for forecasting values from data.What you will learnExplore data science and its various process modelsPerform data manipulation using NumPy and pandas for aggregating, cleaning, and handling missing valuesCreate interactive visualizations using Matplotlib, Seaborn, and BokehRetrieve, process, and store data in a wide range of formatsUnderstand data preprocessing and feature engineering using pandas and scikit-learnPerform time series analysis and signal processing using sunspot cycle dataAnalyze textual data and image data to perform advanced analysisGet up to speed with parallel computing using DaskWho this book is for This book is for data analysts, business analysts, statisticians, and data scientists looking to learn how to use Python for data analysis. Students and academic faculties will also find this book useful for learning and teaching Python data analysis using a hands-on approach. A basic understanding of math and working knowledge of the Python programming language will help you get started with this book.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Ivan Idris, Avinash Navlani, Armando FandangoGenre: Computing & InternetRelease 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: Python Data Analysis
Title: Python Data Analysis
Subtitle: Perform data collection, data processing, wrangling, visualizatio
EAN: 9781789955248
ISBN: 9781789955248
Release Date: 01/29/2021
Release Year: 2021
Country/Region of Manufacture: GB
Item Height: 93mm
Item Length: 75mm
Genre: Computing & Internet
Publisher: Packt Publishing, The Limited
Subject: Data Modeling & Design, Data Visualization, Data Processing
Publication Year: 2021
Number of Pages: 478 Pages
Publication Name: Python Data Analysis : Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python
Language: English
Type: Textbook
Subject Area: Computers
Author: Ivan Idris, Armando Fandango, Avinash Navlani
Format: Trade Paperback