Take me home

Movie Recommender

This is a collaborative filtering system for recommending similar movies, using a dataset from Kaggle .

The team:

Me

homepage

Inspiration

  • This is a personal project that I did during the course of INFO103 - Intro to Data Science.

Who can we help?

  • People who doesn't trust Netflix's algorithm :).

How does it recommend?

  • Sparsity (a lot of 0s) in the data is addressed by setting minimum thresholds for both user and movie engagement.
  • The system uses the NearestNeighbors algorithm to compute similarity between movies based on the cosine distance metric.
  • By fitting this model with the sparse ratings matrix, it can quickly identify the most similar movies to a given input movie.
trading demo

How was the result?

Familiarized myself with Nearest Neighbors algorithm

This was my first time trying data analysis in general.

Practiced data clean techniques from class

I got to tried out many cleaning, denoising techniques that were taught in INFO103.

Check it out

GitHub

Hit me up

-> LinkedIn

-> GitHub

Additional skills:

Mess up 30 quarts of Phở: Intermediate

Overshoot medium rare: Expert

By Matt Nguyen. Inspired by Jay Clark