Learn data mining through excel: (Record no. 3877)

MARC details
000 -LEADER
fixed length control field 03108nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221206154159.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221206b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484267356
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.165
Item number ZHO
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Zhou, Hong
245 ## - TITLE STATEMENT
Title Learn data mining through excel:
Remainder of title a step by step approach for understanding machine learning methods
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Apress 
Place of publication, distribution, etc. USA
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 219 p.
365 ## - TRADE PRICE
Price type code INR
Price amount 799.00
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Excel and Data Mining<br/>Hong Zhou<br/>Pages 1-19<br/>Linear Regression<br/>Hong Zhou<br/>Pages 21-34<br/>K-Means Clustering<br/>Hong Zhou<br/>Pages 35-47<br/>Linear Discriminant Analysis<br/>Hong Zhou<br/>Pages 49-66<br/>Cross-Validation and ROC<br/>Hong Zhou<br/>Pages 67-81<br/>Logistic Regression<br/>Hong Zhou<br/>Pages 83-92<br/>K-Nearest Neighbors<br/>Hong Zhou<br/>Pages 93-108<br/>Naïve Bayes Classification<br/>Hong Zhou<br/>Pages 109-123<br/>Decision Trees<br/>Hong Zhou<br/>Pages 125-148<br/>Association Analysis<br/>Hong Zhou<br/>Pages 149-161<br/>Artificial Neural Network<br/>Hong Zhou<br/>Pages 163-187<br/>Text Mining<br/>Hong Zhou<br/>Pages 189-209<br/>After Excel
520 ## - SUMMARY, ETC.
Summary, etc. About this book<br/>Use popular data mining techniques in Microsoft Excel to better understand machine learning methods.<br/><br/>Software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help.<br/><br/>Excel allows you to work with data in a transparent manner. When you open an Excel file, data is visible immediately and you can work with it directly. Intermediate results can be examined while you are conducting your mining task, offering a deeper understanding of how data is manipulated and results are obtained. These are critical aspects of the model construction process that are hidden in software tools and programming language packages.<br/><br/>This book teaches you data mining through Excel. You will learn how Excel has an advantage in data mining when the data sets are not too large. It can give you a visual representation of data mining, building confidence in your results. You will go through every step manually, which offers not only an active learning experience, but teaches you how the mining process works and how to find the internal hidden patterns inside the data.<br/><br/><br/><br/>What You Will Learn<br/><br/>Comprehend data mining using a visual step-by-step approach<br/>Build on a theoretical introduction of a data mining method, followed by an Excel implementation<br/>Unveil the mystery behind machine learning algorithms, making a complex topic accessible to everyone<br/>Become skilled in creative uses of Excel formulas and functions<br/>Obtain hands-on experience with data mining and Excel<br/><br/><br/>Who This Book Is For<br/><br/>Anyone who is interested in learning data mining or machine learning, especially data science visual learners and people skilled in Excel, who would like to explore data science topics and/or expand their Excel skills. A basic or beginner level understanding of Excel is recommended.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Microsoft software
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences TB2160 12-11-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 12/07/2022 Technical Bureau India Pvt. Ltd. 559.30   004.165 ZHO 003907 12/07/2022 1 799.00 12/07/2022 Book

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