Product clustering for an e-commerce project
In this task, we will perform product clustering using the same e-commerce dataset. The goal is to create an unsupervised learning model to cluster products based on their textual descriptions using Python and common libraries.
Your initial prompt: Set context
As usual, when using ChatGPT, it’s important to set a high-level context. For data science, high-level context means describing things like the data used (e-commerce data), what we’re trying to achieve (get data insights), and how we’re looking to achieve it (clustering).
Below is an example of a prompt providing all the suggested context we just described in the preceding paragraph:
[Prompt]
I would like you to act as an experienced data scientist and help me implement Product Categorization model using clustering. The dataset is e-commerce data from the UCI Machine Learning Repository. It is a transnational dataset that contains all the...
