Description: Practical Business Analytics Using R and Python : Solve Business Problems Using a Data-driven Approach, Paperback by Hodeghatta, Umesh R.; Nayak, Umesha, ISBN 1484287533, ISBN-13 9781484287538, Like New Used, Free shipping in the US This updated book builds on the basic foundations established in the first edition, illustrating how data can predict future outcomes, optimize the efficiency and performance of organizations, and detect relevant patterns and relationships. It will also teach you to analyze and understand data by applying concepts of probability theory, statistics, and machine learning. This new edition also uses Python coding examples in addition to R. It also features new chapters, including coverage of SQL, NLP, and optimization models in R and Python.Part one begins with an introduction to analytics, the foundations required to perform data analytics, and explains different analytics terms and concepts such as databases and SQL, basic statistics, probability theory, and data exploration. Part two introduces predictive models, statistical learning models, and machine learning models. It discusses concepts like regression, classification, and neural networks. Part three covers the two popular unsupervised learning techniques used in text mining and natural language processing (NLP). It explains how to utilize clustering techniques and mine text to discover insights. Th concludes with an overview of big data analytics, R and Python for analytics, and explores Jupyter Not, pandas, and NumPy python libraries used in data analytics. What You Will Learn Understand various analytics models, data mining, and machine learning algorithms for modeling, and how to choose which to use for a given taskUse tools and techniques to develop descriptive models, predictive models, and optimization modelsĀ Interpret and recommend actions based on analytical output Who This Book Is For Software professionals and developers, managers, and executives who want to understand and learn the fundamentals of analytics using R and Python.
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End Time: 2025-01-03T23:03:49.000Z
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Book Title: Practical Business Analytics Using R and Python : Solve Business
Number of Pages: Xxv, 706 Pages
Publication Name: Practical Business Analytics Using R and Python : Solve Business Problems Using a Data-Driven Approach
Language: English
Publisher: Apress L. P.
Publication Year: 2023
Subject: Intelligence (Ai) & Semantics, Economics / General, Databases / General, Programming Languages / Python
Item Weight: 48.3 Oz
Type: Textbook
Item Length: 10 in
Author: Umesha Nayak, Umesh R. Hodeghatta
Subject Area: Computers, Business & Economics
Item Width: 7 in
Format: Trade Paperback