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Table of Contents
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: Naïve Bayes Classification
Chapter 9: Decision Trees
Chapter 10: Association Analysis
Chapter 11: Artificial Neural Networks
Chapter 12: Text Mining
Chapter 13: Hierarchical Clustering and Dendrogram
Chapter 14 Exploratory Data Analysis (EDA)
Chapter 15: After Excel.
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: Naïve Bayes Classification
Chapter 9: Decision Trees
Chapter 10: Association Analysis
Chapter 11: Artificial Neural Networks
Chapter 12: Text Mining
Chapter 13: Hierarchical Clustering and Dendrogram
Chapter 14 Exploratory Data Analysis (EDA)
Chapter 15: After Excel.