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We aim to create a recommendation system based on the MovieLens dataset from the GroupLens research lab at the University of Minnesota. Furthermore, we would like to deploy a web app that will alloy a user to enter some ratings for movies that they have seen, and then, based on the model we have implemented, it will reccomend movies that align with their interests.

Jupyter Notebook 98.63% Python 1.17% HTML 0.12% CSS 0.08%

rate_5_get_5_rec_system's Introduction

๐‡๐ž๐ฅ๐ฅ๐จ ๐ญ๐ก๐ž๐ซ๐ž, ๐Ÿ๐ž๐ฅ๐ฅ๐จ๐ฐ <๐šŒ๐š˜๐š๐šŽ๐š›๐šœ/>!

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I am Shivam Tawari ๐Ÿ˜ƒ. I am from Nagpur (Maharashtra), India and currently researching at Indian School of Business. ๐Ÿซ. I love to explore and learn about new things.

โšก Technologies

Talk to me about:

  • Front-end development using HTML, CSS, Bootstrap.
  • Backend development using Flask, Django.
  • Deploying webapps on cloud service using Azure, Heroku.
  • Programming in Python.

Hello World!! ๐Ÿค”

  • ๐Ÿ’ฌ Ask me about anything and everything.
  • ๐Ÿ“ซ My childhood blog: Know All Techy.
  • โšก Fun fact: Internet users blink less than usual.

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