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Successfully developed a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify various distinct types of luxury apparels into their respective categories i.e. pants, accessories, underwear, shoes, etc.

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SayamAlt/Luxury-Apparel-Product-Category-Classification-using-fine-tuned-DistilBERT

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Luxury Apparels Dataset

About the Dataset

This dataset contains detailed information about luxury apparel products, including their category, subcategory, product name, and description. The data can be used to derive insights and explore trends within the luxury fashion industry. It is particularly useful for building Multiclass Classification models to categorize products based on their names and descriptions.

Context

The dataset provides comprehensive details on luxury apparel products. With fields such as Product Name, Product Category, Product Subcategory, and Product Description, it offers valuable information for understanding product classifications and exploring trends in the luxury fashion domain.

Multiclass Classification models can be built to categorize these products into their respective categories and subcategories, helping brands, researchers, and businesses make data-driven decisions in the luxury fashion industry.

Dataset Columns

The CSV file contains the following columns:

  • Category: The primary category of the product.
  • SubCategory: The subcategory of the product providing further classification.
  • ProductName: The name of the product.
  • Description: A detailed description of the product, which provides insights into its features and characteristics.

Usage

This dataset can be used for various applications, including:

  • Building predictive models for luxury apparel product categorization.
  • Analyzing trends and patterns in the luxury fashion industry.
  • Enhancing product recommendation systems.

License

The dataset is provided under the MIT license. Please review the license terms before using the dataset.

Contributing

Contributions to this dataset or related models are welcome! If you find issues, have suggestions, or improvements, feel free to open an issue or submit a pull request.

Feedback

If you find this dataset useful, please consider giving it a star and leaving feedback in the comments section below.

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Successfully developed a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify various distinct types of luxury apparels into their respective categories i.e. pants, accessories, underwear, shoes, etc.

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