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In this video we will build a Movie Recommender System in Python using Item Based Collaborative Filtering. It is easier than you think to create a simple Movie Recommender and the results from this tutorial are quite amazing. We will use a data set provided in a link below containing ratings of users and a list of movies. each user rates number of movies and we will then find recommendations for those users. In this tutorial we will create a special user which is going to contain a list of movies that I personally like. You can later change that list of movies. The we are going to create a matrix using Panda of the movies correlations with each other. Then we will find similar movies based on the movies we already liked and the correlations. Then we will sort the results. Repository from video https://github.com/overnightdigital/m... If you want to learn how to become a great Software Engineer, Advance your Career, Learn Everything from Python to AWS head over to 🚨 https://noveltechmedia.com 🚨 For any thoughts, ideas, feedback or questions contact me at 🚨 [email protected] 🚨 Disclaimer: All videos are for educational purposes and use them wisely. Any video might have inaccurate or outdated information. I give my best to research every topic thoroughly but please be aware that videos can contain mistakes.