/Movie_Recommendation_System_using_Machine_Learning_with_Python

Primary LanguageJupyter Notebook

Movie Recommendation System using Machine Learning with Python

Overview

This project implements a movie recommendation system using machine learning techniques in Python. The system recommends movies based on their similarity to a user's favorite movie. The code utilizes the scikit-learn library for text vectorization and cosine similarity calculations.

Code Structure

The code is organized into the following sections:

  1. Data Loading:

    • The movie data is loaded from a CSV file (movies.csv) using pandas.
    • The first 5 rows of the dataset and its dimensions are printed for initial exploration.

  2. Feature Selection:

    • Relevant features for recommendation, including 'genres', 'keywords', 'tagline', 'cast', and 'director', are selected.
    • Null values in these features are replaced with empty strings.

  3. Text Vectorization:

    • The selected features are combined into a single text feature.
    • TF-IDF vectorization is applied to convert the text data into feature vectors.

  4. Cosine Similarity:

    • Cosine similarity scores between movies are calculated based on their feature vectors.

  5. User Input:

    • The user is prompted to input their favorite movie.

  6. Movie Recommendation:

    • A list of movie titles from the dataset is created.
    • Using difflib, the closest match to the user's input is found.
    • The index of the matched movie is used to retrieve similarity scores with other movies.
    • The movies are sorted based on their similarity scores, and the top suggestions are presented to the user.

How to Use

  1. Clone the Repository:

    git clone https://github.com/your-username/Movie_Recommendation_System_using_Machine_Learning_with_Python.git
cd Movie_Recommendation_System_using_Machine_Learning_with_Python

  2. Install Dependencies:

    pip install pandas numpy scikit-learn

  3. Run the Code:

    • Ensure that the movies.csv file is present in the same directory.
    python movie_recommendation_system.py

  4. Enter Favorite Movie:

    • Follow the prompts to enter the name of your favorite movie.

  5. Review Recommendations:

    • The code will display a list of movie recommendations based on the input.