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Netflix Content Trends and Insights Analysis
Tech Stack: Python (pandas, NumPy, Matplotlib, Seaborn)

  • Analyzed a dataset of 9000+ Netflix shows and movies to identify content trends, genres, and release patterns.
  • Applied data manipulation techniques using Python for thorough analysis and cleaning.
  • Created visualizations to showcase yearly trends, duration distribution, and genre evolution.
  • Presented findings with actionable insights for decision-making, focusing on genre shifts and country-based dominance.