INFO-523-Exercises / project-final-MineCrafters

MineCrafters team GitHub repository for Project Final from INFO 523 @ UArizona
https://info-523-exercises.github.io/project-final-MineCrafters/
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Proposal peer review #3

Closed Rohit-Hemaraja closed 1 year ago

Rohit-Hemaraja commented 1 year ago

The following is the peer review of the project proposal by The Null Wranglers. The team members that participated in this review are Dong Chen - @dongchen18 Anjani Sowmya Bollapragada - @asbollapragada Kristi Manasil - @kmanasil Rohit Hemaraja- @Rohit-Hemaraja Utkarsha Patil- @utkarshapatil01

Create a recommendation system to aid buyers in selecting the perfect pair of shoes

  1. The data is from Kaggle and contains information about a variety of shoes from two different manufacturers.
  2. It contains over 3 thousand observations but only just over 1500 unique products.
  3. The data dictionary is well defined and easy to understand
  1. They will do preprocessing and an EDA which is a good first step.
  2. They will follow this with basic data visualization to demonstrate trends and patterns in the data
  3. The plan from here is to create features, split the data for testing and evaluate the model - however you mention sentiment analysis but only seem to have numeric data in connection to customer reviews
  1. Unsure how the research question can be answered without the actual reviews of the customers or the customers past shopping experiences (data)
  2. Unsure of how a recommendation system can be done without individual consumer data
  1. The research question it too vague and needs to be better defined
  2. In order to build a recommendation system, you will need to expand the data to have individual consumer metrics
  3. In order to do a sentiment analysis you may need to get individual consumer reviews, currently you only have the number of reviews.

We really liked the Title and the abstract. They grab the attention right away.

We found it well organized and have no recommendations to improve this

partha-pkp commented 1 year ago

Thanks for the review!