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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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- ![Embeddings Graph](imp2.png)
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  *(Above: Visualizing user groups based on profile similarity)*
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  ---
 
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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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+ ![Embeddings Graph](imp3.png)
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  *(Above: Visualizing user groups based on profile similarity)*
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  ---