Know Your Style 👗✨

Fashion & clothing data explorations — discovering trends, styles, prices, categories, and more through EDA and open datasets.

Why this repo?

• Turning curiosity about fashion into data-driven insights.

• Builds on my existing skills: EDA, visualization, classification, anomaly detection, Jupyter notebooks.

• Fun & relatable — "know your style" with numbers behind it!

Current Notebooks / Work

• fashion_products_eda.ipynb → Exploratory analysis of clothing catalogs (categories, prices, brands, ratings, trends)

• fashion_mnist_eda_classification.ipynb → EDA + CNN based classification to classify items (T-shirt, Trouser, Dress, etc.).

More coming soon: style clustering, price vs. rating insights, color trends, recommendation ideas, or "what's trending" summaries.

Datasets Used / Planned (all free & open)

• Fashion Clothing Products Catalog (Myntra, ~12k products)

  → Great for category/price/brand/rating EDA

• Fashion Product Images (Small) (~44k items with images & metadata)

  → Good for basic image + text analysis

• Fashion MNIST

  → Currently using for image classification of mutliple fashion items

• Others: Adidas retail products Adidas Fashion Retail Products 1.5K Adidas products (price, availability, color, rating), clothing sales datasets, etc.

Setup (Colab/Local)

Run everything in Google Colab — no install needed!

• fashion_products_eda.ipynb →

• fashion_mnist_eda_classification.ipynb →

Skills Showcased

Python · Pandas · Matplotlib/Seaborn/Plotly · Data Visualization · EDA · E-commerce Analysis · Tensorflow/Keras · Classification

Questions, ideas, or style tips? Open an issue or reach out! 😄

Main profile: https://github.com/S33mi

Casual thoughts: @Seemi_Rauf on X

Let's discover what the data says about style! 👠📊