Movie-Recommenders-System-ALX-project-

This project is a movie recommendation system developed as part of the ALX program. The goal was to utilize various machine learning techniques to recommend movies based on user preferences and historical data.

Project Overview

In this project, I developed a movie recommendation system using datasets from Kaggle. The system includes data preprocessing, exploratory data analysis (EDA), and the implementation of multiple recommendation algorithms.

What I Did

Data Import and Exploration:

Data Preprocessing:

Exploratory Data Analysis (EDA):

Recommendation Algorithms:

Model Evaluation:

Conclusion

This project provided hands-on experience with data preprocessing, exploratory data analysis, and the implementation of recommendation algorithms. The final model offers personalized movie recommendations based on user preferences and historical data.

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