000			03335nam a2200373Ia 4500
001			3126
008			230305s2021 xx 000 0 und d
020			_a9781789955248
043			_aen_UK
041			_aeng
245		0	_aPython Data Analysis
250			_aThird edition
260			_a _bPackt, _c2021
300			_a462 p. _bil. _c24 cm.
500			_aperform data collection, data processing, wrangling, visualization, and model building using Python
505			_aSection 1: Foundation for Data Analysis _rGetting Started with Python Libraries-- _rNumPy and pandas-- _rStatistics-- _rLinear Algebra-- _rSection 2: Exploratory Data Analysis and Data Cleaning-- _rData Visualization-- _rRetrieving, Processing, and Storing Data-- _rCleaning Messy Data-- _rSignal Processing and Time Series-- _rSection 3: Deep Dive into Machine Learning-- _rSupervised Learning - Regression Analysis-- _rSupervised Learning - Classification Techniques-- _rUnsupervised Learning - PCA and Clustering-- _rSection 4: NLP, Image Analytics, and Parallel Computing-- _rAnalyzing Textual Data-- _rAnalyzing Image Data-- _rParallel Computing Using Dask--
520			_aData 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.
590			_bPreview available on Google Books. ; Digital resources available on the publisher's website.
630			_aQA MATHEMATICS _92046
650			_aPython (Computer program language) _913080
650			_aData analysis _913081
700			_aIdris, Ivan _eAutor _913082
700			_aNavlani, Avinash _eAutor _913083
700			_aFandango, Armando _eAutor _913084
856			_uhttps://books.google.es/books?id=DN4SEAAAQBAJ&printsec=frontcover&hl=ca#v=onepage&q&f=false
856			_uhttps://www.packtpub.com/product/python-data-analysis-third-edition/9781789955248
902			_a1546
905			_am
911			_ahttps://biblioteca.tbs-education.es/portadas/9781789955248.jpg
912			_a2021-01-01
942			_a1
953			_d2021-09-21 13:59:33
999			_c2981 _d2981