'What's cooking?' is one of the many data science competitions held at www.kaggle.com (the world's largest community of data scientists and machine learners). The main task in this competition is to predict the category of a dish's cuisine given a list of its ingredients. It combines techniques mainly from the text analytics and machine learning areas.
Link to the competition: https://www.kaggle.com/c/whats-cooking-kernels-only
This analysis is published also as a public kernel in the Kaggle platform and can be found here: https://www.kaggle.com/gloriahristova/a-walkthrough-eda-vizualizations-unigram-model.
In order to see the vizualizations in GitHub you should use nbviewer and do the following:
- Open http://nbviewer.jupyter.org/
- Paste this link in the nbviewer bar: https://github.com/GloriaHristova/kaggle-whats-cooking/blob/master/What's%20Cooking.ipynb
You should now be able to see all of the notebook's vizualizations.