使用 R 进行市场篮子分析和线性判别分析
- 1 - Part 1 Association Rules Market Basket Analysis
- 1 - Section Overview
- 2 - How to study this course
- 3 - What is Market Basket Analysis MBA Association rules
- 4 - Usage of Association Rules
- 5 - How does an association rule look like
- 6 - Strength of an association rule Support measure
- 7 - Strength of an association rule Confidence measure
- 8 - Strength of an association rule Lift measure
- 9 - Basic Algorithm to derive rules
- 2 - Part 1 Association rules demo & quiz
- 10 - Demo of Basic Algorithm to derive rules BFS and DFS
- 11 - Demo Using R on Fruit transaction data
- 12 - Demo Using R on another transaction data
- 13 - Try your learning assignment
- 14 - Assignment solution
- 3 - Part 2 Linear Discriminant Analysis LDA
- 15 - Section Overview
- 16 - Need of a classification model
- 17 - Purpose of Linear Discriminants
- 18 - A case for classification
- 19 - Formal definition of LDA
- 20 - Analytics techniques applicability
- 21 - First practical use of LDA LDA for Variable Selection
- 22 - Demo of using LDA for Variable Selection
- 4 - Part 2 Second practical usage of LDA LDA for classification
- 23 - Intuitive Understanding of LDA for classification
- 24 - First complexity distance calculation Euclidean distance
- 25 - First complexity distance calculation enhanced Mahalanobis distance 01
- 26 - First complexity distance calculation enhanced Mahalanobis distance 02
- 27 - Second complexity Linear Discriminant Function
- 28 - Third complexity Posterior Probability Bays Theorem
- 29 - Demo of LDA using R part 01
- 30 - Demo of LDA using R part 02
- 30 - Demo of LDA using R part 02_EV
- 31 - LDA vs PCA side by side
- 32 - Demo of LDA for more than two classes part 01
- 33 - Demo of LDA for more than two classes part 02
- 34 - Industrial usage of LDA
- 35 - Handling Special Cases biased sample differential misclassification in LDA
- 36 - Closing Note