This project uses correlation methods to implement NETFLIX movie recommendation model. The dataset is the NETFLIX competition dataset from Kaggle website. Dataset link: https://www.kaggle.com/netflix-inc/netflix-prize-data Due to limited RAM of my machine, I used only "combined_data_1.txt" file from data along with "movie_titles.csv" file. This project did a basic data analysis in the Jupyter-Notebook and then used pyhton built-in libraries to implement recommendation model of NETFLIX. The models used are Collaborative Filtering and Pearsons'R correlation.