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https://github.com/chdl17/imdb-assignment

This GitHub repository contains a project that performs an analysis of the IMDb movie rating dataset. The data is used to explore the relationships between various features and the movie rating. Visualizations are used to illustrate the results of the analysis. The code is organized into a Jupyter Notebook file and data files.
https://github.com/chdl17/imdb-assignment

numpy pandas-dataframe python

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This GitHub repository contains a project that performs an analysis of the IMDb movie rating dataset. The data is used to explore the relationships between various features and the movie rating. Visualizations are used to illustrate the results of the analysis. The code is organized into a Jupyter Notebook file and data files.

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IMDB-Assignment


IMDB & Python


IMDB (Internet Movie Database) is an online database of information related to films, television programs, home videos, video games, and streaming content online. It is one of the most popular online resources for film and television enthusiasts.


Python is a powerful high-level programming language, used for general-purpose programming. It is a widely used, interpreted, object-oriented programming language with dynamic semantics. Python's syntax is simple and elegant, making it a great choice for beginners and experienced developers alike.


IMDB and Python are closely related as Python can be used to access the IMDB database and its API. With Python, developers can easily build applications that access the IMDB database and its API, allowing them to access information such as movie titles, ratings, cast, and more.


Python can also be used for data analysis and visualization. Python is a great tool for analyzing and visualizing IMDB data, as it provides powerful libraries and packages that make it easy to work with the data. With Python, developers can quickly and easily create visualizations of IMDB data, such as movie ratings, genres, and more.


Problem Statement


In this assignment, you will try to find some interesting insights into a few movies released between 1916 and 2016, using Python. This is a compulsory individual assignment wherein you will download a movie dataset, write Python code to explore the data, gain insights into the movies, actors, directors, and collections, and submit the code.


IMDB Analysis


Here is a visual representation of the IMDB Analysis project:


IMDB Analysis