ENGS 104 Group repo on Kaggle's "What's Cooking?" challenge.
I performed some dimensionality analysis on the data in order to visualize the cuisines. I used both Principal Component Analysis (PCA) and the t-Distributed Stochastic Neighbor Embedding (t-NSE). See some of the visualizations below:
PCA: ![](PCA visualization.png) t-SNE: ![](t-SNE visualization.png)