49 - Visualizing Data
50 - Cars Dataset
51 - Longley
52 - abline
53 - ggplot2 Package
54 - Using qplot
55 - Using Geometries
56 - geomhistogram and geomdensity
57 - geomsmooth
58 - loess
59 - Facets
60 - labeller
61 - Scaling
62 - scalefill Functions
63 - Brewer Function
64 - Figures with Multiple Plots
65 - Supervised Learning
66 - Linear Regression
67 - Best Regression Line
68 - Logistic Regression
69 - Breast Cancer with Logistic Regression
70 - Model Matrices and Formulas
71 - Generalized Linear Model Fitting Function
72 - Interactions Between Your Parameters
73 - Using Phi for Features of Data
74 - Validating Models
75 - Evaluating Regression Models
76 - Evaluating Classification Models
77 - Confusion Matrix
78 - Accuracy
79 - Sensitivity and Specificity
80 - Other Measures
81 - Random Permutations of Your Data
82 - Feature Coefficients
83 - Indexing Instead of
84 - Purrr Package
85 - CrossValidation
86 - crossvalidation groups Function
87 - Selecting Random Training and Testing Data
