Suresh Kumar Mukhiya - Hands-On Exploratory Data Analysis with Python: Perform EDA techniques to understand, summarize, and investigate your data

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Suresh Kumar Mukhiya is a Ph.D. candidate currently affiliated with the Western Norway University of Applied Sciences (HVL). He is a big data enthusiast, specializing in information systems, model-driven software engineering, big data analysis, artificial intelligence, and frontend development. He has completed his Master's degree in information systems at the Norwegian University of Science and Technology (NTNU, Norway), along with a thesis in processing mining. He also holds a Bachelor's degree in computer science and information technology (BSc.CSIT) from Tribhuvan University, Nepal, where he was decorated with the Vice-Chancellor's Award for obtaining the highest score. He is a passionate photographer and a resilient traveler.

Usman Ahmed is a data scientist and Ph.D. candidate at the Western Norway University of Applied Sciences (HVL). He has rich experience in building and scaling high-performance systems based on data mining, natural language processing, and machine learning. Usman's research interests are sequential data mining, heterogeneous computing, natural language processing, recommendation systems, and machine learning. He has completed the Master of Science degree in computer science at Capital University of Science and Technology, Islamabad, Pakistan. Usman Ahmed was awarded a gold medal for his bachelor of computer science degree from Heavy Industries Taxila Education City.

Jamshaid Sohail is passionate about data science, machine learning, computer vision, natural language processing, and big data, and has completed over 65 online courses in related fields. He has worked in a Silicon Valley-based start-up named Funnelbeam as a data scientist. He worked with the founders of Funnelbeam, who came from Stanford University, and he generated a lot of revenue by completing several projects and products. Currently, he is working as a data scientist at Fiverivers Technologies. He authored the course Data Wrangling with Python 3.X for Packt and has reviewed a number of books and courses.

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Data is a collection of discrete objects, events, and facts in the form of numbers, text, pictures, videos, objects, audio, and other entities. Processing data provides a great deal of information . But the million-dollar question ishow do we get meaningful information from data? The answer to this question is Exploratory Data Analysis ( EDA ), which is the process of investigating datasets, elucidating subjects, and visualizing outcomes. EDA is an approach to data analysis that applies a variety of techniques to maximize specific insights into a dataset, reveal an underlying structure, extract significant variables, detect outliers and anomalies, test assumptions, develop models, and determine best parameters for future estimations. This book,