Python Data Analysis - Third Edition
Cód:
491_9781789955248
De: R$ 0,00Por: R$ 319,26ou X de
Understand data analysis pipelines using machine learning algorithms and techniques with this practical guideKey Features:Prepare 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, youll 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, youll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using easy-to-follow examples. Youll then understand how to conduct time series analysis and signal processing using ARMA models. As you advance, youll 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, youll 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, youll 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 Learn:Explore data science and its various process modelsPerform data manipulation using NumPy and pandas for aggregating, cleaning, and handling missing valuesCreate interactive visualizations using Matpl
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