Final project for Udacity's ud741 — Unsupervised Learning
License: MIT License
A simple movie recommender system. Made a simple UI that just recommends a genre, for now.
Used:
KMeans: to cluster similar movies together.
Pearson Correlation Similarity Measure: to measure similarity between two users.
Currently getting a Mean Squared Error of 1.23 on the test set.
It would be great if you could explain a bit about your project and files.
Hey Vinayak ,
Few days ago I used your code to inspire me about the same project I had to lead ,
just wanted to tell you that I found a ML algorithm that beat the KMeans , it is the DBSCAN
the MSE is not 1.23 it fall to 1.18 seems good to me..
So I wanted to share that piece of information with you ;)
Take Care man
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