Word2vec Output


  1. Load the order_products__train,order_products__prior and products csv files data


    load dataset


  2. products id to a string


  3. extract order products


  4. create final sentences


  5. train word2vec model


  6. organize data for visualization


  7. pca transforms the vector into 2D


  8. visualize the random sample