No description available

Making EDA by file: "netflix_titles.csv"

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

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.

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.

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

No description available

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

This project, **Netflix Exploratory Data Analysis (EDA)**, focuses on analyzing Netflix’s dataset to uncover trends, patterns, and insights. Through EDA, it explores user behavior, popular genres, content trends, and more. The project helps understand key factors driving Netflix's content strategy and audience preferences.

🎬 End-to-End Netflix Titles Data Analysis Project | 🐍 Python (EDA & Data Cleaning) + 📊 Tableau Interactive Dashboard | 🌍 Insights on Genres, Ratings, Countries & Yearly Growth Trends

The Netflix EDA Project uncovers insights from streaming data to enhance content strategy. Analyzing genres, user behavior, and regional variations, it informs decision-making, improves user experiences, and ensures global relevance. An exciting exploration into Netflix's data-driven success.

Full-stack machine learning project that predicts viewer satisfaction (high ratings) on Netflix using demographic data and TMDB movie metadata. Includes EDA, XGBoost modeling, and real-time enrichment using the TMDB API.

This project explores and analyzes the Netflix dataset to uncover patterns and trends in the content offered on the platform. Using Python and Colab, it performs exploratory data analysis (EDA) and applies data cleaning techniques to prepare the data for insights.

This project involves performing EDA on netflix_data.csv to understand 1990s movies. Key tasks include determining the most frequent movie duration (duration) and counting short action movies (<90 mins) released in the 1990s (short_movie_count). Includes data cleaning, visualization, and analysis.

Netflix EDA Project

Exploratory Data Analysis on Netflix Movies and TV Shows dataset using Python.

No description available

A comprehensive EDA of the Netflix dataset. This project cleans, analyzes, and visualizes Netflix's content library to find key insights into its growth, genre focus, and top creators.

No description available

No description available

Netflix Data Analysis – A Python project exploring Netflix’s dataset to uncover trends in movies, TV shows, genres, release years, ratings, and countries. Uses Pandas, NumPy, Matplotlib & Seaborn for data cleaning, analysis, and visualization of key insights.

Exploratory Data Analysis of Netflix Movies and TV Shows using Python

Exploratory Data Analysis on Netflix dataset using Python, Pandas, and Seaborn

This is a mini data analysis project based on a Netflix movie dataset. The goal was to explore the dataset, clean it, extract insights, and visualize trends in movie genres, popularity, ratings, and release years.

A beginner-friendly Netflix Data Analysis project using Python, Pandas, Matplotlib, and Seaborn.

Exploratory Data Analysis (EDA) of the Netflix Movies and TV Shows dataset using Python, pandas, matplotlib, and seaborn.

This project is a comprehensive Exploratory Data Analysis (EDA) on Netflix's content dataset using Python. It explores trends in content release over the years, content types, country-wise distribution, genres, and ratings using visualizations like bar plots, word clouds, and choropleth maps.

The Netflix EDA Project uncovers insights from streaming data to enhance content strategy. Analyzing genres, user behavior, and regional variations, it informs decision-making, improves user experiences, and ensures global relevance. An exciting exploration into Netflix's data-driven success.

No description available

here we work on the Data-Science called Netflix Eda but tis beginner level project which contains low level