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Ini Oladosu
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Decks in this class (14)
3 - Assessing Models
0
cards
11 - Clustering
Clusting is a form of,
What are the 3 types of clusterin...,
4 steps for hierarchical clustering
10
cards
12 - Cross Validation
What is loocv,
What is k fold cv
2
cards
13 - Jackknife and Bootstrap
What can jackknife be used for,
What is bootstrap,
How does the bootstrap work
6
cards
14 - Classification & Regression Trees
What are decision trees or carts,
What does an excessive amount of ...,
Goal of growing a regression tree
5
cards
4 - Linear Regression
Assumptions the model makes,
What is used to find the best line,
What does the rse do
5
cards
5 - Multiple Linear Regression
0
cards
Chapter 2 (Statistical Learning & Assessing Models)
What are the advantages of a very...,
What are the advantages of a very...,
When would a more flexible approa...
6
cards
Chapter 3 - Linear Regression (Simple + Multiple)
0
cards
Midterm Practice Problems
Describe what the bayes classifie...,
Will the bayes classifier result ...,
Under what assumptions is linear ...
16
cards
A1 Problems
0
cards
Midterm Qs
Logistic regression assumes that,
O,
Distances between observations me...
17
cards
Random things to know
What is log reg,
What is log reg best for
2
cards
Course Practice Problems
Describe the bayes classifier,
Will the bayes classifier result ...,
Under what assumptions is lda the...
14
cards
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DATA 311
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