Vanderscycle / ramenML

A machine learning model based on an instant ramen rating database. You can create your own instant ramen and have the model predict its rating score.

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Ramen Machine Learning 🍜

Based on the data hosted by (kaggle)[https://www.kaggle.com/residentmario/ramen-ratings] which is from a popular ramen review site.

The goal of the project is for its contributors to become more comfortable with scikit-learn pipeline, custom pipeline functions, hyperparameters tunning and resulting machine learning model deployment on Django.

The deployed Django model is interactive meaning that a user can enter several parameters including ingredients, country, style and company to have the model return a predicted rating.

Some of the finding so far:

  • the data is imbalanced with many 5 stars reviews;

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A machine learning model based on an instant ramen rating database. You can create your own instant ramen and have the model predict its rating score.


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