Building a Recommendation System in Python

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Ever wonder how the recommendation algorithms work behind large tech companies? (Facebook, Google, Apple, Netflix, Amazon etc) Look no further! I explain how the recommendation systems work and how to create your own using Matrix Factorization and Kmeans clustering.

I create a recommendation system for movies. So, stay tuned! ;)

Github for code: https://github.com/SpencerPao/Data_Sc...

Data Citation:
F. Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligents Systems (TiiS) 5, 4: 19:1–19:19.

Data Link: (MovieLens)
https://grouplens.org/datasets/moviel...

0:00 - Why do we care about Recommendation Algorithm & System?
1:22 - Game Plan!
1:38 - Collaborative Filtering and Content-Based Filtering & Objective
3:39 - Google Collab Setup & Data
7:18 - Matrix Factorization Model Initialization & Training / Tuning Model
10:30 - Kmeans Clustering & Movie Recommendations