EDA, manipulating raw data, drawing conclusions from plots on Netflix data.

Netflix is one of the most popular media and video streaming platforms. They have over 10000 movies or tv shows available on their platform, as of mid-2021, they have over 222M Subscribers globally. This tabular dataset consists of listings of all the movies and tv shows available on Netflix, along with details such as - cast, directors, ratings, release year, duration, etc.

The Netflix Dataset's exploratory data analysis is housed in this repository. To evaluate the pattern and extract relevant information from it, the dataset is applied to various data mining algorithms such as Naive Bayes Classifiers, K-Nearest Neighbor(KNN), and Apriori.

Exploration of Netflix Dataset in R

netflix movie analysis using python libraries

No description available

Exploratory Data Analysis with SQL - Netflix shows

EDA and visualization of the Netflix Titles Dataset using Pandas and Matplotlib. Includes cleaning, missing value analysis, and plots like histograms, line charts, heatmaps, and pie charts to explore content type, duration, and ratings over time.

No description available

Exploratory data analysis of Netflix movies and TV shows using Python to uncover content trends and insights.

netflix film and tv_show eda

Making EDA by file: "netflix_titles.csv"

The purpose of this repository is to practice EDA and data visualization, Hopefully communicate some best-practices along the way

Exploratory Data Analysis (EDA) on Netflix Movies & TV Shows Dataset using Python, Pandas, and Seaborn.

This repository contains an Exploratory Data Analysis (EDA) Python project on the Netflix dataset. The purpose of this project is to gain insights and better understand the characteristics of the content available on Netflix, including movies and TV shows.

No description available

EDA of Netflix dataset

No description available

Netflix's content strategy with this dataset encompassing over 10,000 movies and TV shows. Delve into cast details, directors, ratings, release years, and more. Leverage data-driven recommendations to guide content production decisions and business expansion strategies globally, fostering growth in diverse markets."

Exploratory Data Analysis on Netflix Movies and TV Shows dataset

Exploratory Data Analysis of Netflix Dataset

📈 Exploratory Data Analysis of Netflix titles uncovering trends in movies, shows, genres, and ratings using Python & Seaborn.

No description available

Exploratory Data Analysis of Netflix Movies & TV Shows using Python to uncover trends and insights.

This project is an Exploratory Data Analysis (EDA) of the Netflix Movies and TV Shows dataset. It includes data cleaning, feature extraction, and visualizations using Python libraries such as pandas, seaborn, and matplotlib to uncover insights about content type, duration, release trends, country distribution, and more.

This repository contains an Exploratory Data Analysis (EDA) of the Netflix dataset using Python, Pandas, Matplotlib, and Seaborn to explore content trends, genre popularity, release patterns, and country-wise distribution of movies and TV shows.

Pet project for practicing EDA and data visualization using the Netflix dataset from Kaggle.

Unsupervised ML project using K-Means and DBSCAN to segment Netflix Movies and TV Shows for strategic content curation.

I used SQL Server to manipulate and analyze my Netflix viewing history data.

Exploratory Data Analysis (EDA) of Netflix Movies & TV Shows. Includes data cleaning, visualization, feature engineering, and insights on content trends, genres, and country contributions.