Learn Data Mining Through Excel: A Step-By-Step Approach for Understanding Machine Learning Methods (Paperback)
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 neighborsChapter 8: Na ve Bayes classification
Chapter 9: Decision Trees
Chapter 10: Association analysisChapter 11: Artificial Neural network
Chapter 12: Text Mining
Chapter 13: After Excel
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.