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/)

Numpy
Pandas

Pearson's r
Correlation matrix

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

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