Movie-Data-Analytics

A tool to predict the IMDB rating of a movie using machine learning

Features:

• Predict the IMDB rating of any movie
• Calculate error of predictions
• Display Movie data and poster from IMDB
• Interactive GUI

Setup

Dependencies

• tkinter (The main Tk software will also be needed if not installed)
• Pillow
• pandas
• scipy
• scikit-learn

Installation

git clone https://github.com/robjweiss/Movie-Data-Analytics.git

Instructions

1. Change directories to the src folder using cd src
2. Launch the program by running the main file using python main.py
3. Enter a move title and the year it was made, if known

Usage

The following example uses a movie where the year is specified and a movie without a year being specified:

Example result using Star Wars (2017):

Additional Information

• The system implements machine learning using random forests and predicts the rating of a given movie based on data from over 10,000 films
• This program is written in python 3 and uses Tk as a user interface
• The OMDb API was used to obtain the IMDb entries
• The data that the machine learning model is based on was obtained from this dataset