Classification model in Python using Fasttext, that categorizes products using metadata into 9919 browse nodes with 63.22% test accuracy on the competition test set. Data Preprocessing is done using NLP to optimize training results.

• Data is imported and Preprocessed in Fasttext_preprocessing.ipynb
• The model training is done in Fasttext_training.ipynb