Github Iniitiator Netflix Data Analysis Contribute to deepakkumar0001 netflix data analysis development by creating an account on github. Explore the fascinating world of netflix through our data analysis project. this repository is a treasure trove of insights and visualizations derived from netflix's extensive content.
Github Saishivaniv Netflix Data Analysis 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. 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. 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. Contribute to deepakkumar0001 netflix data analysis development by creating an account on github.
Github Punyagv Netflix Data Analysis 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. Contribute to deepakkumar0001 netflix data analysis development by creating an account on github. The main objective of this project is to analyze the dataset of movies and tv shows available on netflix and generate insights to help netflix decide which type of content to produce and how. Contribute to deepakkumar0001 netflix data analysis development by creating an account on github. Contribute to deepakkumar0001 netflix data analysis development by creating an account on github. About this project focuses on analyzing netflix dataset using python to uncover meaningful insights and trends. the analysis includes data cleaning, processing, and visualization to better understand content distribution, genres, release patterns, and more. i using libraries such as pandas,numpy and meatplotib.
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