GMDB is the ultra-simple, cross-platform Movie Library with Features (Search, Take Note, Watch Later, Like, Import, Learn, Instantly Torrent Magnet Watch)

A movie plot generating python notebook

Netflix Data Analysis notebook project. Created using Google collab

In this notebook I have tried to use the data provided by Netflix and implement two recommender systems.

Jupyter Notebook dedicated to the detailed analysis of the Netflix movies and tv shows using the R programming language

Demonstrates data analysis and visualization techniques for Netflix movies using Python in a Jupyter notebook. This is a DataCamp project.

This repo contains the implementation of netflix's original recommender system based on matrix factorization which changed the recommender systems forever 10 years back. Delve in to the notebooks to learn the intricacies of the magic box that knows your exact taste.

The information in this notebook relates to Netflix. Using this, we can identify the most well-known television programmes and provide more information.

This repository contains the Jupyter notebooks and datasets for the Microsoft's Explore space with Python and Visual Studio Code; inspired by Netflix's Over the Moon.

GitHub repository containing a Jupyter notebook for a DataCamp guided project on analyzing Netflix movie durations from 2011 to 2020, covering data loading, visualization, DataFrame creation, and exploratory data analysis.

This is an Exploratory Data Analysis (EDA) and Visualization and Machine Learning modelling predicting churn in fictional Netflix Users , created using Jupyter Notebook v 7.0.8 running on Python 3.12.4 programming language.

This project demonstrates how to perform Exploratory Data Analysis (EDA) on the Netflix dataset using PySpark in a Jupyter Notebook environment. It involves setting up Spark, loading a dataset, performing basic data cleaning, and visualizing the results. All of it is runnning on a container in Docker.