Task 2: Online Shoppers Behaviour Clustering (K-Means & GMM) #2
Description
This issue tracks my Task 2 coursework for the Machine Learning and Data Mining module.
The project applies unsupervised learning techniques (K-Means and Gaussian Mixture Models)
to the Online Shoppers Purchasing Intention dataset from the UCI Machine Learning Repository.
The work includes:
- Exploratory Data Analysis (EDA)
- Data preprocessing and feature engineering
- Clustering with K-Means and GMM
- Cluster evaluation and comparison
- Business interpretation and recommendations
This issue is linked to my MSc Data Science coursework project.