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![CertificateBackground.png](https://static.wixstatic.com/media/55f531_d6679d5b06e14c81ae07bacb53692d5f~mv2.png/v1/fill/w_714,h_536,al_c,q_90,usm_0.66_1.00_0.01,enc_auto/CertificateBackground.png)
Certificate of Completion
![ErdosHorizontal.png](https://static.wixstatic.com/media/55f531_5a3b8885620c4f25b2d3edeca3ae2158~mv2.png/v1/fill/w_351,h_40,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/ErdosHorizontal.png)
THIS ACKNOWLEDGES THAT
HAS COMPLETED THE FALL 2023 DATA SCIENCE BOOT CAMP
Timothy Alland
![clear.png](https://static.wixstatic.com/media/55f531_85cf6183fce84815a730fc02df102d8c~mv2.png/v1/fill/w_147,h_147,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/clear.png)
Roman Holowinsky, PhD
DECEMBER 07, 2023
DIRECTOR
DATE
TEAM
BrewSavvy
Timothy Alland, Brandon Butler, Phuc Nguyen, Aidan Lorenz
![clear.png](https://static.wixstatic.com/media/55f531_b9f3f13ce3aa4af78af2cc6d3563b81b~mv2.png/v1/fill/w_3,h_3,al_c,lg_1,q_85,enc_auto/clear.png)
We built a beer recommender app that recommends beers to a user based on a list of beers that the user likes. The underlying model uses matrix factorization trained on a data set of ~1.5 million reviews with ~65,000 different beers and ~33,000 users.
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/a994932411404ef3bb797ba005125f5d.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/a994932411404ef3bb797ba005125f5d.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/a994932411404ef3bb797ba005125f5d.png)
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