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Project Ke-3 "Customer Segmentation with R"
- 6 PHASES OF DATA ANALYSIS
- ETL
- Create a K-means clustering model
- determine the optimal number of clustering
- Elbow Effect Graphics
- Naming Segments
- Apply model results to real cases
Project Ke-2 "Product Packaging"
1. Get top 10 and bottom 10 insights from products sold.
2. Get a list of all product package combinations with strong correlation.
3. Get a list of all product package combinations with a specific item.
4. perform ETL on dataframe
5. using the Apriori algorithm