Github Punyagv Netflix Data Analysis Netflix data analysis project overview: this project conducts a comprehensive analysis of netflix's tv shows and movies up to 2021, utilizing pandas and seaborn in a jupyter notebook. Textblob is a python library and offers a simple api to access its methods and perform basic nlp tasks. a good thing about textblob is that they are just like python strings. so, you can transform.
Github Iniitiator Netflix Data Analysis This repository is a treasure trove of insights and visualizations derived from netflix's extensive content library. our team has meticulously collected and analyzed netflix data to uncover. That's why i decided to obtain a database with all the platform's titles and, using tools like pandas, numpy, and plotly, perform an analysis and then visualize the data in graphs for the client's better understanding. below are the results. A data analysis project using python to explore, visualize, and understand trends in netflix's global content catalog — from genres and durations to ratings, release years, and countries. In this blog, we’ll be using python to perform exploratory data analysis (eda) on a netflix dataset that we’ve found on kaggle.
Github Saishivaniv Netflix Data Analysis A data analysis project using python to explore, visualize, and understand trends in netflix's global content catalog — from genres and durations to ratings, release years, and countries. In this blog, we’ll be using python to perform exploratory data analysis (eda) on a netflix dataset that we’ve found on kaggle. This project analyzes the netflix titles dataset to uncover insights on content types, release trends, top genres, and country wise contributions. it was done using python libraries like pandas, matplotlib, and seaborn. This project analyzes the netflix dataset to uncover patterns and insights about the type, duration, release year, and distribution of content across countries. A complete data analysis project on netflix titles using python (pandas, matplotlib, seaborn, and plotly). includes data cleaning, preprocessing, and exploratory data analysis (eda) with interactive visualizations in google colab. This dataset contains 25,000 fictional netflix user records generated for analysis, visualization, and machine learning practice. it includes demographic details, subscription type, watch time, and login history for each user.
Github Fawad2 Netflix Data Analysis Using Python And Tableau This project analyzes the netflix titles dataset to uncover insights on content types, release trends, top genres, and country wise contributions. it was done using python libraries like pandas, matplotlib, and seaborn. This project analyzes the netflix dataset to uncover patterns and insights about the type, duration, release year, and distribution of content across countries. A complete data analysis project on netflix titles using python (pandas, matplotlib, seaborn, and plotly). includes data cleaning, preprocessing, and exploratory data analysis (eda) with interactive visualizations in google colab. This dataset contains 25,000 fictional netflix user records generated for analysis, visualization, and machine learning practice. it includes demographic details, subscription type, watch time, and login history for each user.
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