Segmentation of the Statistics Canada’s Set of Proximity Measures – A Clustering Algorithm Approach. UBC MDS capstone project for Statistics Canada.
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Updated
Jun 24, 2023 - R
Segmentation of the Statistics Canada’s Set of Proximity Measures – A Clustering Algorithm Approach. UBC MDS capstone project for Statistics Canada.
Identify distinct session shopper profiles and different behaviors
This repo contains works on various academic projects using real-life data for modelling and prediction
A repository for supplementary considerations required to run certain stroke segmentation algorithms
Using the mtcars and cnbc dataset, I'm exploring the hierarchical clustering technique.
Customer Segmentation to provide the offers based on the RFM Analysis.
This case requires trainees to develop a customer segmentation to define marketing strategy. The sample dataset summarizes the usage behavior of about 9000 active credit card holders during the last 6 months. The file is at a customer level with 18 behavioral variables.
Clustering exercise of ACC basketball players to analyze "positionless basketball".
Development version of the CptNonPar R package
identify segments of customers by geography using unsupervised learning
Chromosome Conformation Capture on Chip (4C): Data Processing. (Workflow/Scripts)
Multi Resolution Analysis of Tiling Arrays. (R package)
Modul latihan R untuk Customer Segmentation dari DQLAB yang sudah saya kerjakan.
My attempts at computer vision using data from the DeepFish dataset - help wanted
Auto market segments identification with K-means
K-means as an unsupervised machine learning technique. Customer Segmentation Case.
rMiW: a R package for microscopy-based image analysis workflow
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