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Decks in this class (7)
Lecture 4 - Data mining introduction
Business intelligence definitions 1,
Data mining 2,
Big data challenges 3
13
cards
Lecture 5 - Linear Regression
Regression analysis 1,
Variables 2,
Linear regression model 3
19
cards
Lecture 6 - Naïve Bayes
Classification clustering 1,
Classification 2,
Clustering 3
13
cards
Lecture 7 - K-Nearest Neighbors
Classification 1,
Example classification 2,
The k nearest neighbors classifier 3
15
cards
Lecture 8 - Performance measures
Classification 1,
Steps in classification 2,
Note on parameter tuning in class...
27
cards
Lecture 9 - Decision Trees
Decision tree 1,
Example 2,
Nodes 3
19
cards
Lecture 10 - Association Rules
Association rules pt1 1,
Example association rules 2,
Rules 3
18
cards
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Business Intelligence & Business Analytics
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