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 DescriptionData 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 forThis 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.Table of ContentsGetting Started with Python LibrariesNumPy and PandasStatisticsLinear AlgebraData VisualizationRetrieving, Processing, and Storing DataCleaning Messy DataSignal Processing and Time SeriesSupervised Learning – Regression AnalysisSupervised Learning – Classification TechniquesUnsupervised Learning – PCA and ClusteringAnalyzing Textual DataAnalyzing Image DataParallel Computing using Dask
✔ Author(s): Avinash Navlani,Armando Fandango,Ivan Idris
✔ Title: Python Data Analysis: Perform data collection, data processing, wrangling, visualization, and model building using Python, 3rd Edition
✔ Rating : 4.7 out of 5 base on (60 reviews)
✔ ISBN-10: 1789955246
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about Python Data Analysis by Avinash Navlani
Meral Fowler
Delve into the dark and twisted world of a psychological thriller that keeps you guessing. The author's masterful storytelling and complex characters create a gripping narrative. Each plot twist is meticulously crafted, adding to the suspense. The tension builds with each chapter, making it impossible to put down. It's a chilling and captivating read that explores the depths of the human psyche. Perfect for fans of psychological suspense.
Poppy Anderson
Delve into a richly detailed fantasy world where magic and mystery abound. The author's imaginative world-building and captivating plot draw you in from the start. Each character's journey is thrilling and their development is relatable. The narrative is filled with enchanting elements that keep you hooked. It's a story that sparks the imagination and transports you to another realm. Perfect for fans of epic fantasy.
Amelie John
Experience the emotional journey of a character discovering their true self in this moving novel. The author's empathetic writing and rich character development create a deeply resonant narrative. Each chapter explores themes of identity, acceptance, and love with sensitivity. The plot's twists and turns keep you engaged from start to finish. It's a heartwarming and thought-provoking read. Perfect for readers who enjoy stories about personal growth and self-discovery.
Learning Kali Linux: Security Testing, Penetration Testing, and Ethical Hacking, NHA Phlebotomy Exam Prep 2023-2024 – 4 Full-Length Practice Tests, Secrets Study Guide Book for the NHA Certification: [3rd Edition], The Safest Lies, Mila Gets Her Super Ears, The Vocalize! Canon Collection: 55 Rounds for Choral and Classroom Singing, Book & Enhanced CD, The Natural Light Portrait Book: The step-by-step techniques you need to capture amazing photographs like the pros (The Photography Book, 5), Souls Like Stars: Renew Your Mind, Heal Your Heart, Unveil Your Shine, Interesting Stories for Curious Kids: A Fascinating Collection of the Most Interesting, Unbelievable, and Craziest Stories on Earth!, Puerto Rico, a Unique Culture: History, People and Traditions, Producer to Producer 2nd edition: A Step-by-Step Guide to Low-Budget Independent Film Producing,