Data Mining

Data Mining

1. Predictive Modeling (Supervised Learning)

   • Classification (outcome is categorical)
     • Naive Bayes
     • Decision Tree
     • Linear Discriminant Analysis
     • Logistic Regression
     • K Nearest Neighbors
   • Regression/Prediction (outcome is numerical)

2. Descriptive Modeling (Unsupervised Learning)

   • Data Exploration
     • Univariate
       • Categorical
         • Count, Frequency
         • Pie Chart/Bar chart
       • Numerical
         • Min, Max, Mean, Median, Mode
         • Range, Quartiles, Variance, SD, Coefficient of Variation
     • Bivariate
       • Categorical
       • Numerical
   • Data Visualization

3. Association Rules