This project is a machine learning model that predicts the ratings of cartoon movies based on various features such as country, duration, genre, animation style, and target audience. It uses a Random Forest Regressor model trained on a dataset of cartoon movie ratings.
app.py: The main Python script for the web application.index.html: HTML template for the user input form.result.html: HTML template for displaying the prediction results.static/: Directory for static files (CSS, images, etc.).templates/: Directory for HTML templates.cartoonmovies.csv: Dataset containing movie details and ratings.README.md: This file.
Follow these steps to set up and run the project locally:
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Clone the repository:
git clone https://github.com/benayaram/Movie_rating-_prediction.git cd cartoon-movie-rating-prediction
Creating a README.md file is an excellent way to document your project and provide information for users and developers. Below is a template for a README.md file for your Cartoon Movie Rating Prediction project:
markdown Copy code
This project is a machine learning model that predicts the ratings of cartoon movies based on various features such as country, duration, genre, animation style, and target audience. It uses a Random Forest Regressor model trained on a dataset of cartoon movie ratings.
app.py: The main Python script for the web application.index.html: HTML template for the user input form.result.html: HTML template for displaying the prediction results.static/: Directory for static files (CSS, images, etc.).templates/: Directory for HTML templates.cartoonmovies.csv: Dataset containing movie details and ratings.README.md: This file.
