The Movie Recommendation System is a Python-based application that uses collaborative filtering techniques to provide personalized movie recommendations to users based on their past viewing history and preferences. This system aims to enhance the user experience by suggesting movies they are likely to enjoy.
Before you begin, ensure you have met the following requirements:
Python 3.6 or higher.
Required Python packages (install them using pip):
NumPy
Pandas
Scikit-learn
Jupyter (for data analysis and model training, pickle files should be generated using jupyter)
A dataset of movie ratings and user preferences