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PATTERN RECOGNITION IN RETAIL DATA

Project Type

Machine Learning Implementation on Data

Date

April 2023

Link

DatabricksCode

The recent project, PATTERN RECOGNITION IN RETAIL DATA, utilized advanced techniques such as the K-means clustering algorithm alongside the elbow method and silhouette score to determine the optimal number of clusters for the dataset. The project aims to showcase how these techniques can be used to identify patterns and insights within retail data, ultimately aiding businesses in making informed decisions.

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