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@@ -47,7 +47,7 @@ I generated a synthetic dataset of 10,000 user profiles to train the model. This
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Using NLP Embeddings, I analyzed the semantic similarity between different user profiles. This visualization proves that the model correctly identifies distinct "clusters" of users (e.g., Bodybuilders vs. Rehab patients).
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**User Segmentation (Embeddings):**
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Using NLP Embeddings, I analyzed the semantic similarity between different user profiles. This visualization proves that the model correctly identifies distinct "clusters" of users (e.g., Bodybuilders vs. Rehab patients).
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**User Segmentation (Embeddings):**
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*(Above: Visualizing user groups based on profile similarity)*
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