Exploratory Dataset Analysis (EDA) will be uploaded to this repository. Libraries such as Pandas, Matplotlib, Seaborn and Plotly will be used for data analysis.

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

A notebook for movie and TV show recommendations using Boolean and TF-IDF methods. Get personalized suggestions based on text descriptions and choose the method that suits your preferences.

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

EDA of Netflix Dataset in Julia

Performed Analysis and Visualization on the NETFLIX TV SHOWS AND MOVIES Dataset. Data taken from Kaggle ( https://www.kaggle.com/datasets/shivamb/netflix-shows). @RaofaizanAPSACS

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

My first project

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.

EDA and visualizations conducted over the Netflix dataset.

This repository features in-depth analyses and insightful observations obtained from a Netflix dataset. It provides a comprehensive overview of user preferences, content trends, and more. The analysis used dynamic charts, graphs, and dashboards to uncover patterns, correlations, and key metrics in streaming entertainment.

Data Analysis Using Python on Netflix Data

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

Data exploration and preprocessing on Netflix Dataset

Stock Price Prediction

The project is to simulate Real-time streaming for movie details using Kafka. We used different technologies such as Python, Amazon EC2, Apache Kafka, Glue, Athena, and SQL.

Netflix Visualisation and EDA

Elastic Search Queries , filtering Netflix Dataset , Geo Tagging , Mapping , Scrolling , Pagination Etc

Analysis on movies database gotten from Netflix