Offered By: IBM
Find your Best Bottle of Wine with NLP
Imagine you come into a wine store, and a knowledgeable vintner tells you all that you want to know about their wines and helps you select the best bottle based on your tastes and cravings. Since you had such a good experience you may buy more wine. This may even give you an idea to open an online wine store, based on a recommender system that provides the same recommendations, as the knowledgeable vintner.
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Machine Learning
46 EnrolledAt a Glance
Imagine you come into a wine store, and a knowledgeable vintner tells you all that you want to know about their wines and helps you select the best bottle based on your tastes and cravings. Since you had such a good experience you may buy more wine. This may even give you an idea to open an online wine store, based on a recommender system that provides the same recommendations, as the knowledgeable vintner.
In this Guided Project, you will use wine dataset and perform some data wrangling techniques to extract interesting information about wines, as well as you will use some Natural Language Processing (NLP) tools to build a recommender system for selecting wines.
A Look at the Project Ahead
- use Hugging Face Transformer model to create embeddings
- create a search function and visual search explorer to select wines
What You'll Need
Everything else is provided to you via the IBM Skills Network Labs environment, where you will have access to the Cloud IDE and Python runtimes that we offer as part of the IBM Skills Network Labs environment. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.
Estimated Effort
30 min
Level
Intermediate
Industries
Retail
Skills You Will Learn
Python, Data Science, Machine Learning, Data Analysis, Embeddable AI
Language
English
Instructors
Contributors
Joseph Santarcangelo
Senior Data Scientist at IBM
Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
Read moreSheng-Kai Chen
Data Scientist
Sheng-Kai Chen is a graduate student at the University of Toronto, concentrating on Information Systems & Design. Having several experiences analyzing data for retail stores and designing small software for small businesses. Sheng-Kai was inspired to shift toward answering new challenges with machine learning and new technics.
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