Top-1000-IMDB-Rated-Movies-Analysis

Elliott-dev

Group Project: Top 1000 Movies by IMDB Rating Exploratory Data Analysis

collections

View on GitHub

1 Stars

1 Forks

1 Watchers

Jupyter Notebook Language

Cost to Build

$20.0K

Market Value

$6.6K

How is this calculated?

Growth over time

4 data points · 2022-05-01 → 2023-07-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about Top-1000-IMDB-Rated-Movies-Analysis

Question copied to clipboard

What is the Elliott-dev/Top-1000-IMDB-Rated-Movies-Analysis GitHub project? Description: "Group Project: Top 1000 Movies by IMDB Rating Exploratory Data Analysis". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Top-1000-IMDB-Rated-Movies-Analysis

Clone via HTTPS

git clone https://github.com/Elliott-dev/Top-1000-IMDB-Rated-Movies-Analysis.git

Clone via SSH

[email protected]:Elliott-dev/Top-1000-IMDB-Rated-Movies-Analysis.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Top-1000-IMDB-Rated-Movies-Analysis issue tracker:

Open GitHub Issues

Similar to Top-1000-IMDB-Rated-Movies-Analysis

awesome-python awesome-flutter windows-kernel-exploits Collections-C vvedenie-mashinnoe-obuchenie streamex Buckets-JS Koloboke cyclops Amazing-Windows-Apps Ardent cdsa explore Knapsack laravel-helpers swift-nonempty vue-mc AwesomeArticles stream-parser SmoothieMap kotlinx.collections.immutable awesome-jupyterlab dictomaton f .NET-Big-O-Algorithm-Complexity-Cheat-Sheet miniboxing-plugin CodeJam grizzly essentials4j paginable-collections