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Material Design Project

A repository containing all the most recent files related to the material design project

The goal of this project is to predict consumer perception metrics, such as star ratings, using product ingrediients and product reviews.

Dataset:

Toothpaste products scraped from Walmart

Featurization

Ingredients and Reviews is featurized using off-the-shell Python libraries such as RDkit and nltk

Folder Explanations

Core

Contains Python scripts created to

  • Ingredient String Cleaning
  • Convert Ingredients to SMILES
  • Convert SMILES to RDkit features

data

Contains data used for data scraping, featurization and machine learning

graphics

Contains important plots or graphics created from data analysis

jupyter_notebooks

Contains Jupyter Notebooks created for data analysis

Presentations

Contains Powerpoint slides that helped explain and update the progress of the project at different stages

Review

Contains Python script that featurizes product reviews

Scrape

Contains Python scripts used for data scraping

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