Python Data Analysis: Perform data collection, data processing, wrangling, visualization, and model building using Python, 3rd Edition by Avinash Navlani (Author). This practical guide, published by Packt Publishing on February 5, 2021, offers a comprehensive exploration of data analysis pipelines using machine learning algorithms and techniques. With key features including preparation and cleaning of data for exploratory analysis, data manipulation, and data wrangling; discovery of supervised, unsupervised, probabilistic, and Bayesian methods; and an in-depth look at graph processing and sentiment analysis, this book is essential for anyone looking to harness the power of Python for diverse data analysis tasks. Covering foundational statistical concepts and modern libraries from the Python ecosystem, it guides readers through efficient data pipeline creation, time series analysis, signal processing with ARMA models, machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering, and real-world applications in natural language processing and image analytics. The concluding chapters delve into parallel computing using Dask, providing a robust toolkit for advanced data analysts.

Printed at 478 pages, this updated edition is designed to help professionals and learners alike understand the intricacies of data analysis through practical examples and modern methodologies. Whether you are new to Python or an experienced user, this book equips you with the skills needed to tackle complex data challenges effectively.

ISBN-10: 1789955246 | ISBN-13: 978-1789955248