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