Movie Recommendation Engines

Overview

This repository is a collection of various movie recommendation engines from online tutorials. The objective is to build predictive models that help recommend movie suggestions based on other users' ratings, as well as determine how well the recommender engines perform. The data used is from the MovieLens datasets (https://grouplens.org/datasets/movielens/)

Python Libraries Used

Numpy
Pandas

Statistical Methods and Models Used

Pearson's r
Correlation matrix

What's In This Repository?

Item-Based Collaborative Filtering.ipynb (Jupyter Notebook)
Simple Movie Recommender.ipynb (Jupyter Notebook)

Additional Resources

Item-Based Collaborative Filtering: https://www.youtube.com/watch?v=PA1XIDSHldc
Simple Movie Recommender: https://www.youtube.com/watch?v=-8BrRnFzq_Y