Movie Recommendation System With Python And Pandas: Data Project

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In this project walkthrough, we'll learn how to create a movie recommendation system using Jupyter, Python, and Pandas. By the end, we'll be able to type the name of a movie into an input box, and instantly get recommendations for other movies we might like. This is an exciting project that can go into a portfolio, or help you learn.

We'll start with the MovieLens 25M dataset, which contains movie reviews and ratings. Then, we'll build a search engine to find a specific movie title in our data. We'll then be able to create a recommendation engine to recommend specific movies.

Chapters

00:00 - Introduction
01:36 - Reading in our movie data with pandas
02:41 - Cleaning movie titles with regex
04:20 - Creating a tfidf matrix
08:21 - Creating a search function
13:10 - Building an interactive search box with Jupyter
18:05 - Reading in movie ratings data
19:29 - Finding users who liked the same movie
25:51 - Finding how much all users like movies
29:06 - Creating a recommendation score
32:02 - Building a recommendation function
33:38 - Creating an interactive recommendation widget
37:05 - Next steps

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Finally, someone has used a different dataset. Thanku😊

shachisinghal
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This project was really amazing and I have to say this video is very underrated. I actually shared this with my batch mates they liked it too.

prityar
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Lost interest in ML earlier this year..your tutorial was really a turnaround..Really appreciate 🙏

abdulkareemridwan
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Thank you Much appreciate it so for walking us through this project . I am very excited to learn every single day Dataquest.

meditationhealingmusic
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attempting to apply this lesson and data scraping to create a book recommendation system for my portfolio. should be able to get a nice dataset from goodreads

johndiba
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I am running the same code in vs code but it only showing two value we put in code input not giving any button or search bar out😢 how to tackle it

yadavvishu
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I have written the code in vscode Jupyter notebook. I am facing a problem because the input and output widgets are not displaying. No text box is appearing. How to solve this issue

swapnilchowdhury
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Hi Vik, that is a great demonstration of building a recommendation system. Thank You! But it might be more interesting if the constructed recommendation system is applied to Streamlit as the framework can be more solid I think?

yapwlm
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You are too good!!! This was very helpful. I had to subscribe immediately. Thanks so much

charlesvictory
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Nice video. Please, can you make a video where you evaluate this model using metrics such as ndcg@, diversity, accuracy...?

staniherstaniher
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sir i am not getting any output neither am I getting any error . Can you pls help me out?

tanishqshivram
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Thank you very much sir for this inspiring tutorial.
Please I want to build a recommender system, "The aim of this study is to design and implement a Recommender System for clothing styles based on user body type derived from user body measurements."
Please can you help with this kind of project or how can I go about it from getting the dataset to completion.
Thank you

ekeminiben
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this really helped me ...but at the end i got an error as 'list' object has no attribute 'indexing'...so what can i do

domakondajyothi
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It is very good and most useful in our daily life

gandiyasasri
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is this count as hybrid recommendation? cuz there is tf idf cosine simillarity (content based) and also item based filtering (collaborative based)?

ayunymoba
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In building search box, my recommendations are not changing. It shows same recommendations as for Toy Story. I made the after changes of removing the fixed movie title, yet there was no change in the recommendations.
Could you please help for the same?

aishwaryakolte
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how to evaluate the accuracy of the model sir?

khanhtruongphamngoc
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Real interesting video Vikas. Really engrossing. Keep coming up with such quality stuff.

rajeevmenon
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I can't import the data into jupiter notebook.When I try to import it, there is an error occuring.

soumyaranjith
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hi. when we create recommedation score, you said we want big difference between similar and all. Why is that?

tekinbayrakl
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