Learn Data Mining Through Excel: A Step-By-Step Approach for Understanding Machine Learning Methods (Paperback)

Learn Data Mining Through Excel: A Step-By-Step Approach for Understanding Machine Learning Methods Cover Image
$39.99
Add to Wish List
At Distributor - We Can Usually Get It in 3-8 Days!

Description


Chapter 1: Excel and Data Mining

Chapter 2: Linear Regression

Chapter 3: K-Means Clustering

Chapter 4: Linear discriminant analysis

Chapter 5: Cross validation and ROC

Chapter 6: Logistic regression

Chapter 7: K-nearest neighbors

Chapter 8: Na ve Bayes classification

Chapter 9: Decision Trees

Chapter 10: Association analysis

Chapter 11: Artificial Neural network

Chapter 12: Text Mining

Chapter 13: After Excel

About the Author


Hong Zhou, PhD is a professor of computer science and mathematics and has been teaching courses in computer science, data science, mathematics, and informatics at the University of Saint Joseph for more than 15 years. His research interests include bioinformatics, data mining, software agents, and blockchain. Prior to his current position, he was as a Java developer in Silicon Valley. Dr. Zhou believes that learners can develop a better foundation of data mining models when they visually experience them step-by-step, which is what Excel offers. He has employed Excel in teaching data mining and finds it an effective approach for both data mining learners and educators.


Product Details
ISBN: 9781484259818
ISBN-10: 1484259815
Publisher: Apress
Publication Date: June 14th, 2020
Pages: 219
Language: English