This project expands on my earlier Clean Beauty Recommender by exploring latent factor models and embedding visualization to better understand product similarities and improve recommendation accuracy, particularly for users with medium to deep skin tones.

Using nutritional data of different cereal brands, I was able to understand the code flow of what different functions did on my own.

Learning to use heatmaps using examples of car models. From this activity, I now understand how to use R studio markdowns to format my website and code.

Heatmaps comparing different models of cars