Found 27 repositories(showing 27)
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The goal is to analyze Netflix’s content strategy to understand how various factors like content type, language, release season, and timing affect viewership patterns. By identifying the best-performing content and the timing of its release, the aim is to uncover insights into how Netflix maximizes audience engagement throughout the year.
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Explore Netflix's content strategy using Python and data analysis. This project dives into trends in viewership, content types, language preferences, and release patterns, leveraging visualizations and insights to reveal strategic decisions behind Netflix's 2023 releases.
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Bhagyasrisatya7
A data-driven analysis of Netflix's content strategy using Python. This project explores how Netflix creates, releases, distributes, and tailors content to maximize audience engagement, viewership, and global reach.
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Jyoti-Hajjargi
Netflix Content Strategy Analysis with Python
anushareddybairugani145
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Vimukthixsandeepa
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rishithabatta
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sajidshaik7595-saji
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deepak01joshi
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mehmetdemirr
Netflix Content Strategy Analysis with Python
ronverse17
Data-driven analysis of Netflix’s 2023 content strategy using Python, EDA, and visualization with Matplotlib & Seaborn.
KapilTanwarr
Content Strategy Analysis means analyzing how content is created, released, distributed, and consumed to achieve specific goals, such as maximizing audience engagement, viewership, brand reach, or revenue. I’ll take you through the task of Netflix Content Strategy Analysis with Python.
ThaherNayeem
Netflix Movies & TV Shows Data Analysis using Python. This project explores content trends, genres, ratings, countries, and growth over time with data cleaning, EDA, and visualizations (matplotlib/seaborn). It highlights insights into Netflix’s content strategy and global expansion.
sakshisv14-sudo
End‑to‑end Netflix content analysis using Python for data cleaning and EDA, combined with an interactive Tableau dashboard. Visualizes 8K+ titles by year, genre, rating, type, and country with dynamic filters. Provides actionable insights into Netflix's content strategy and acquisition trends.
Vijay12345567808790
Performed an exploratory data analysis on Netflix’s movie and TV show dataset using Python. Uncovered insights on content distribution, genre trends, release years, and ratings. Visualized key patterns with Pandas, Matplotlib, and Seaborn to understand Netflix’s global content strategy.
satkmsk9618
Performed Exploratory Data Analysis on the Netflix dataset using Python to uncover insights on content trends, genre popularity, and regional diversity. Visualized results with Power BI and Python libraries to support data-driven decisions for audience targeting and content strategy.
Comprehensive data analysis project exploring Netflix’s 2023 viewership trends to uncover insights on content performance, audience preferences, and seasonal patterns. Built using Python with pandas, matplotlib, and seaborn to guide smarter content strategy decisions based on data.
Aarti3519
Analyzed 9,000+ Netflix movies using Python (Pandas, NumPy) to identify frequent genres, top-rated titles, popularity trends, and yearly film counts. Visualized insights with Matplotlib and Seaborn to support data-driven content strategy and trend analysis.
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