Wiskey-Recommendation-System

Goal

Analyze the whiskey survey and recommend another Whiskey that the user would like by receiving one of the favorite whiskey.

Requirements

Language

• Python3

Tools

• Jupyter NoteBook with anaconda

Libraries

• Numpy
• Pandas
• Matplotlibt

Dataset

Dataset file

scotch_review.csv in this repository or kaggle - 22,000+ Scotch Whisky Reviews, but dataset has 2.2K+, not 22K+.

Dataset Description (copy from kaggle description)

Context

Dataset was scraped from Whisky Advocate. You can take a look at scraping script here.

Content

• name: Name of whisky bottle
• category: Whisky category
• review.point: Point marked by each reviewers
• price: Price of each bottle
• currency: Unit of price
• description: Descriptions of reviews

Acknowledgements

Original database is from Whisky Advocate.

Inspiration

Can you find characteristics of each category of whisky?

References

• What is EDA?
  • https://www.itl.nist.gov/div898/handbook/eda/section1/eda11.htm
• Python Syntax
  • https://docs.python.org/3/contents.html
• Pandas API Reference
  • https://pandas.pydata.org/pandas-docs/stable/api.html
• Visualizing the distribution of a dataset
  • https://seaborn.pydata.org/tutorial/distributions.html
  • https://www.kaggle.com/residentmario/univariate-plotting-with-pandas

Team Member

• Dokyeong Kwon
• Seungwoo Park
• Taeseung Lee