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STATS 202: Data Mining in R

This class was created by Brainscape user Chad Milando. Visit their profile to learn more about the creator.

By: Chad Milando
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Decks in this class (16)

Chapter 2 - Statistical Learning
3 important facts about e from y ...,
Define prediction 2,
Define inference 3
15  cards
Chapter 3 - Linear Regression
Simple linear regression form coe...,
What is rss tss 2,
Hypothesis test 3
18  cards
Chapter 4 - Classification
Logistic Regression, LDA,
15  cards
Chapter 10 - PCA
Pca 1,
The first principle component 2,
Pca example 3
7  cards
Chapter 5 - Cross Validation
Validation set approach 1,
Loocv 2,
K fold cv 3
13  cards
Chapter 10 - Clustering
Clustering overviewa and types we...,
K means 2,
Properties of k means algorithm 4 3
6  cards
Missing Data
Types of missing data 3 1,
Ways to deal with missing data 3 2,
Explain single imputation overall...
7  cards
Chapter 6 - Model Selection
Define model selection 1,
Best subset selection 2,
Alternatives to minimizing cv err...
9  cards
Chapter 6 - Shrinkage Methods
Overview idea why do we want to d...,
Ridge regression definition 2 not...,
The lasso 3
10  cards
Chapter 6 - Dimensionality Reduction
Dimensionality reduction idea typ...,
Principal components regression a...,
Relationship between pcr and ridge 3
8  cards
Chapter 7 - Non Linear Regression
Strategy for non linear regression 1,
Cubic splines 2,
Natural cubic spline 3
11  cards
Chapter 8 - Decision Trees
Cart 6 1,
How is the tree built 2,
How do we control for overfitting 3
9  cards
Chapter 9 - Max Margin + SVC
Hyperplanes and normal vectors 4 1,
Maximal margin classifier 2,
Finding maximal margin classifier 3
8  cards
Chapter 8 - Bagging, Random Forest, Boosting
Bagging what is it when do we do ...,
Bagging decision trees 2,
Out of bag error 3
6  cards
Chapter 9 - Non-linear Boudary, Kernal, SVM
How do we use the svc with non li...,
Kernels 2,
The kernel trick 3
9  cards
Chapter 3 - Problems with Linear Regression
Potential issues in linear regres...,
Potential issue with linear regre...,
Potential issue with linear regre...
9  cards

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STATS 202: Data Mining in R

  • Class purpose General learning

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