This project is a case study of the Movielens dataset, which contains anonymous ratings of approximately 3,900 movies made by 6,040 MovieLens users who joined MovieLens in 2000. The dataset can be found at this URL: https://grouplens.org/datasets/movielens/. The goal of the project is to explore the data, find features that affect movie ratings, and build a model to predict movie ratings.

• Python 3.6 or higher
• Pandas
• Matplotlib
• Sklearn

To run the project, simply clone the repository and run the main.py script.

This project is licensed under the MIT License - see the LICENSE file for details.

Mamatha GR - Initial work