netflix-dataset

Netflix Flow

Análisis y visualización de datos con R de historial de actividad en Netflix de una cuenta personal. Visualización de maratones de series más vistas y frecuencia de actividad por días, meses y años

Production-style Netflix data lakehouse platform built on AWS, implementing a Medallion (Bronze–Silver–Gold) architecture to transform raw data into analytics-ready datasets. The pipeline leverages AWS Glue for scalable ETL processing, S3 as a data lake storage layer, Athena for serverless SQL analytics & Automated Glue workflows for Orchestration.

Offline Netflix catalog search with BM25, dense retrieval, hybrid RRF, cross-encoder reranking, and reproducible relevance evaluation.

This is the Netflix Analysis till 2021 mid, done using Python. Read the "readme" file for a quick overview of the conslusions.

SQL analysis of Netflix's content catalog using PostgreSQL — exploring ratings, genres, runtime, and cast/crew trends across a two-table relational schema (5,850 titles, 77,800+ credits).

Interactive Power BI dashboard analyzing Netflix's content portfolio, genre saturation, market opportunities, lifecycle trends, and data-driven investment strategies.

SQL project analyzing Netflix's movie & TV show catalog — from database design and data cleaning to 22 business questions covering content trends, genres, countries, and directors. Built in PostgreSQL.

Netflix data analysis and visualization project using Python, Pandas, and Matplotlib to explore content trends, ratings, and distribution patterns.

A comprehensive exploration of Netflix movies & TV shows and mobile datasets, featuring univariate, bivariate, and multivariate analyses. Visualizations and insights showcase trends, correlations, and patterns in the data.

Data warehousing project from identifying business opportunities, researching for data, designing, data modeling, performing data Extraction, Transformation, Loading using Python, building analytics in Tableau and made recommendations to optimize business strategies. Netflix is not only a successful Service But it is completely a Data-Driven

A Python program that reads your Netflix viewing and billing data and shows you fun stats. Built for CS50P at Harvard.

Analyzing Netflix content trends using Python for data cleaning and Flourish Studio for interactive storytelling.

Python workshop portfolio featuring completed notebooks on core programming, OOP, iterators, NumPy, and Pandas, plus exploratory analysis of a 6,234-title Netflix dataset. Created during the CKPCET workshop to document hands-on learning and the progression from Python fundamentals to practical data analysis.

Netflix Data Analysis based on Age Based Ratings and Top Genres of 2021 of Movies - TV Shows along side Data Visualization

Stock Price Prediction

Comprehensive data analysis of Netflix movies and TV shows using SQL to extract valuable business insights.

EDA of Netflix Dataset in Julia

The project is about Netflix Customer Churn dataset in kaggle. The Notebook contains codes to check how Customer churn is affected by Multiple factors. Exploratory Data Analysis is performed to check all the relationship with the target variable i.e. Churn and Created 2 Models to check and compare how the dataset works based on Data provided