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This project explores Netflix's content evolution, analyzes TV shows and movies, and builds a recommendation system. Discover insights from a dataset of 7,787 titles as of 2019 and learn how we clustered content based on textual features.

Home Page: https://www.linkedin.com/in/akeel-rashid/

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clustering content-based-recommendation cosine-similarity data-science dataanalytics datavisualization elbow-method exploratory-data-analysis hirarchical-clustering kmeans-clustering

netflix_movies_tv_show_clustering's Introduction

Hi ๐Ÿ‘‹, I'm Akeel Rashid

Data Science Student @AlmaBetter

Coding

akeelrashid

Connect with me:

https://www.linkedin.com/in/akeel-rashid/ https://www.instagram.com/akeel.rashid_/ https://www.hackerrank.com/akeelrashid505?hr_r=1

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