What Clothes will be popular? Analysis on MUSINSA item using Embedding and Transfer Learning (fast.ai)

This is machine learning project which analize fashion item to predict cloth's popularity using fast.ai, especially Collaborative Filtering and Transfer Learning based Convolutional Neural Network

Data was collected from MUSINSA, a korean fashion web store

The analysis was tested on Google Colab, which is awesome enviromnet for Data Science because most of python package for ds already prepared.

• Python 3.6+
  • pytorch
  • fast.ai
  • BeautifulSoup
  • Selenium
  • Requests

doc folder have some contents of Jupter Notebook

• Part0: Data Crawling
• Part1: Data Preprocessing
• Part2: Model Training
• Part3: Model Evaluating
• Part4: Model Serving

• Developing Web Crawling Supporting Module
• Developing fast.ai Supporting Module
• Etc...