IMDb Data Analysis and Top 1% Movies(Team-Strangecues)

Table of contents

• Dataset
• Prerequisites
• Steps
• Result

Dataset

For this project I have used public dataset from kaggle

https://www.kaggle.com/ashirwadsangwan/imdb-dataset

The dataset contains IMDb's extensive database updated till 2020. The size of the dataset is around 1.44 GB.

Prerequisites

OS Scikit-learn Matplotlib Pandas Numpy

Steps

• Firstly, you will need to download/upload the dataset to the colab and extract it in a folder
• copy the path of that folder and paste it into the PATH
• Run "project-strangecues.ipynb" on google colab
• It will take time to run
• One thing that should be noted is that the starting year of the data we used is 1960s.
• Now, you can see the top 1% moves in the dataframe named "Classic"

Result

• We saw that the ratio of the top 1% movies with total movies is 0.0100026877229