Clustering Cross Validation Webinar 
Pickl AI
NOVEMBER 28, 2024
Key techniques in unsupervised learning include: Clustering (K-means) K-means is a clustering algorithm that groups data points into clusters based on their similarities. Unit testing ensures individual components of the model work as expected, while integration testing validates how those components function together.
Pickl AI
APRIL 26, 2024
Techniques such as cross-validation, regularisation , and feature selection can prevent overfitting. Then, I would use clustering techniques such as k-means or hierarchical clustering to group customers based on similarities in their purchasing behaviour. In my previous role, we had a project with a tight deadline.
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