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Recommendation-Engine-ML-

The recommendation engine uses information about 1,80,000 products and each product will have multiple features named

  1. Title of the product.
  2. Brand of the product.
  3. Color of the product.
  4. Type of the product.
  5. Image of the apparel. Data Source: Amazon.com

Machine Learning project which analyses the image and text by using Keras, TensorFlow, Convolutional Neural Network, Bag of words, word2vec, TF-IDF, Natural Language Processing(NLP) to recommend you the best out of the stack of amazon's dataset.