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Data and Visual Analytics (Logistic Regression (Definitions, Binary…
Data and Visual Analytics
R Programming
Introduction to R
Running R
R Commands and Data Types
R Control Flow
R Functions
Data Structures
Vectorization
Data Visualization
Basic Graphing
GGPlot2
Plotting 1 Dimensional Numeric Data
Strip Plots
Histograms
Plotting x-y Relationships
Line Plots
Smoothed Histogram
Scatter Plot
Variable Relationship Plotting
Facets
Multi Variable Plots
Facets
Special Plots
Noisy Data
Contour Plots
Plotting Samples of Random Distributions
Box Plots
QQ Plots
Data Processing
Missing Data
MAR
Handling Missing Data
MCAR
Outliers
Corrupted Values
Unlikely Values
Data Transformations
Binning
Indicator Variables
Shuffling
Partitioning
Wide vs Tall
Reshaping
Split-Apply-Combins
Data Manipulations
Power Transformations
Logistic Regression
Definitions
Binary Classification
Linear Classifiers
Classifiers, Dimensionality, Features
MLE
Probabilistic Classifiers
Gradient Descent
Over Fitting
Linear Regression
Definitions
Linear Transfomations
Training Data
SSE and Coefficient of Determination
Linear Regression in R
lm syntax and use
Data Transforms
Regulaization
Over Fitting
MSE, Bias, and Variance
MLE and Over Fitting
Methods
James-Stein
Breiman's Garrote
Lasso (L1)
Ridge (L2)
Elastic Net