*The 2008 Netflix Challenge: Development of a Machine Learning Algorithm in Movie Rating Prediction (2021)

Inspired by the 2008 Netflix challenge, this report is an implementation of machine learning algorithms to tackle the same task that was designated to participants in the Netflix challenge. The primary aim of this project will be developing a model that predicts the rating of a given movie using the dataset Movielens. To assess our model, we will calculate the root mean squared error (RMSE) to calculate error. Through this report, we will construct multiple models to predict the ratings, and the model with the lowest RMSE will be used.