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Tomertg
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SmartFit_Dataset

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Tabular Classification

Text Classification

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Tomertg commited on Jan 20

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@@ -58,9 +58,9 @@ This repository contains a synthetic dataset generated for the SmartFit AI proje
 ## Exploratory Data Analysis (EDA)
 The visualization below demonstrates the distribution and characteristics of the synthetic data. This analysis ensures the dataset is balanced across different categories and logically consistent regarding injuries and recommended plans.
-![Exploratory Data Analysis](imp1.png)
 ## Embeddings and User Segmentation
 To analyze user similarity and validate the data quality, we utilized a Sentence Transformer model to convert textual user profiles into high-dimensional vectors. The visualization below displays these embeddings reduced to 2D space using PCA. The distinct clusters indicate that the system successfully differentiates between different user types and their corresponding workout requirements.
-![Embeddings Analysis](imp3.png)

 ## Exploratory Data Analysis (EDA)
 The visualization below demonstrates the distribution and characteristics of the synthetic data. This analysis ensures the dataset is balanced across different categories and logically consistent regarding injuries and recommended plans.
+![Exploratory Data Analysis](imp88.png)
 ## Embeddings and User Segmentation
 To analyze user similarity and validate the data quality, we utilized a Sentence Transformer model to convert textual user profiles into high-dimensional vectors. The visualization below displays these embeddings reduced to 2D space using PCA. The distinct clusters indicate that the system successfully differentiates between different user types and their corresponding workout requirements.
+![Embeddings Analysis](imp888.png)