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Interactive Word Embeddings using Word2Vec and Plotly
  • Level Intermediate
  • Duration 3 hours
  • Offered by

About

In this 2 hour long project, you will learn how to preprocess a text dataset comprising recipes. You will learn how to use natural language processing techniques to generate word embeddings for these ingredients, using Word2Vec. These word embeddings can be used for recommendations in an online store based on added items in a basket, or to suggest alternative items as replacements when stock is limited. You will build this recommendation/discovery feature in an interactive and aesthetic visualization tool. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.

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Explore the "Interactive Word Embeddings using Word2Vec and Plotly" course by Coursera, focused on Data Science & AI. This intermediate-level, 2-hour project teaches text preprocessing of recipe datasets. It's free and guided by expert instructors, ideal for those seeking hands-on experience with Word2Vec and Plotly.