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By:
Sarah Grabow
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Decks in this class (23)
Basic Definitions
Target variable 1,
Predictor 2,
Variables continuous count factor 3
18
cards
Exploratory Data Analysis
Exploratory data analysis 1,
Univariate 2,
Bivariate 3
4
cards
R notes
Library dplyr 1,
Combining levels 1,
Unique values 2
39
cards
Variable Transformations
Log transformations and root tran...,
Numeric vs factor 2,
Dummy variables 3
4
cards
Modeling definitions
Modeling considerations before 1,
Modeling considerations during 2,
Modeling considerations after 3
11
cards
Model Accuracy - pt1
Model accuracy 1,
Model accuracy bias 2,
Model accuracy variance 3
8
cards
Model Accuracy pt 2
Validation set 1,
Data partition seed 2,
Data partition stratified sampling 3
6
cards
MLR
Definition 1,
Model performance 2,
Interpretation 3
4
cards
MLR - model assumptions
Violations for mlr 1,
1 residuals with non zero averages 2,
2 heteroscedasticity 3
10
cards
Stepwise Selection
Definition 1,
Notes information criteria 2,
Model performance 3
7
cards
Regularization
Definition 1,
Ridge regression 2,
Lasso regression 3
7
cards
GLM
Definition 1,
Linear exponential family 2,
Two modeling choices 3
10
cards
GLM - Continuous Target
Weights 1,
Using gamma inverse gaussian 1
2
cards
GLM - Binary Target
Bernoulli distribution 1,
Logistic regression 2
2
cards
GLM - Count Target
Poisson exposures 1
1
cards
Decision Trees
Definition 1,
Tree structure 2,
Tree flexibility 3
10
cards
Decision Trees - Regression Trees
Trees for continuous targets 1,
Poisson trees 2
2
cards
Decision Trees - Classification Trees
Trees for binary target 1,
Pruning 2,
Classification trees and factor v...
3
cards
Ensemble Methods - Models
Definition 1,
Random forests basics 2,
Random forests notes 3
6
cards
Ensemble Methods - Other Modeling Aspects
Binary target 1,
Oversampling 2,
Undersampling 3
4
cards
Principal Component Analysis
Definition 1,
Notes 2,
Variance explained 3
6
cards
Clustering - k-means
Clustering definition 1,
K means clustering definition and...,
K means clustering notes 3
4
cards
Clustering - Hierarchical
Hierarchical clustering steps 1,
Hierarchical clustering notes 2,
Dendrogram notes 3
3
cards
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Exam PA
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