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python_movie_rating_prediction

Movie Rating Prediction

Movie Prediction Project

Overview

This project focuses on predicting IMDb scores for movies using a linear regression model. The dataset contains information about various movie features, and the goal is to develop a model that can accurately predict IMDb scores.

Table of Contents

  1. Dataset
  2. Project Structure
  3. Dependencies
  4. Usage
  5. Contributors

Dataset

The dataset (movie_data.csv) contains information about movies, including features like genres, director names, actor names, IMDb scores, and more. The preprocessing steps involve handling missing values, one-hot encoding categorical variables, and removing unnecessary columns.

Project Structure

  • movie_rating_prediction.ipynb: Jupyter Notebook containing the main code for data preprocessing, model development, and evaluation.
  • movie_data.csv: Dataset used for training and testing the model.
  • README.md: This file providing an overview of the project.

Dependencies

  • pandas
  • numpy
  • scikit-learn
  • matplotlib
  • seaborn

usage

jupyter notebook project_code.ipynb

Contributors

  • Jethreswar
  • Naga Himachand Pasupuleti
  • Abhishek