Movie Recommender System Project | Content Based Recommender System with Heroku Deployment 

Thank you brother! Was stuck at making projects for interviews, now I can say that I can make a project not just for a showcase but can also explain it very well in the interview. This is a real content without any misleading!

Thank you so much you are a gem for a teacher. The way you explain each line of code with so much ease is something to be grateful for. You are literally explaining every methods, functions each tiny details that made me understand the whole lesson in like 2 hours. I am so much grateful

You deserved a praise the way you explain everything with ease and without making it too complex. Well done

Great Tutorial. Your explanation is crisp and simple. You are one of my favorites and I have started to watch all your tutorials. You are doing a fantastic job for the Community.

Thank you for taking out time to create and explain this project to us. So generous of you.

You are such a great teacher. Thank you so much for building end-to-end projects.

amazing explanation...... the idea logics were explained beautifully throughout the video . Also after so many videos finally found your channel and got so much clearity about how to make projects and got out of the spiral of only learning concepts and not able of getting them implemented in a productive way☺☺ great teacher!

Thank you for such a wonderful video, bro. I finished my course and was stuck without a clear idea about the project. I tried a few datasets of my own, but I had some trouble and there were difficulties in getting help. I will definitely watch this entire video and create this projects based on your explanation of the concept. Thank you again.

Wah guru mauj kar di. Vector ka funda 2-dimension se utha ke itni sahi tarike se samjhaya ki majja aa gya. Even I was very doubtfull in thinking 5000x5000 matrix space. But you make it clear. Namashkar hai apke samjhane ke tareke ko.

We need more such movies where you go through complex data sets and make us understand everything step by step

Such a blessing to have access to such valuable content for free, Indian content creators in IT domain are simply wow....... ! Thank you for sharing. It's truly appreciated!

This was my first ML video ever and i was mind blown by your teaching by how well i understood everything being a beginner

thankyou sir excellent video, happy to get at least 1 channel where we could learn each and everything without anything being skipped and us being told it's simple to do it yourself. Nice job keep up this great work.

Bhai true hardword hai, koi filter nhi lagaaye. Jha pe phas rhe vha shi kr rhe hai ye nhi ki sb code pehle se file me store hai aur vo de di. Highly appreciated

watched full video length 2 hrs 17 min 41 sec... instead of watching tv series... and it made my day... Great work Nitish bhai... God bless you brother...

the moment you opened documentation . i knew you genuinely want us to learn.... thanks

Thank you. You explained it so patiently. This 2 hours is worth in Gold.

Never have I ever been so satisfied with a tutorial video that explained everything in such simple terms and going through it thoroughly explaining why something is being done and all. Great video. Keep it up !

how simple mathematical concept is actually recommending the similar concept, is really amazing. Nitish sir, you are a genius ❤

Kudos !!! It is a great tutorial video for people beginning coding it shall provide you with the necessary motivation, confidence and skillset to do a minor project . I am so grateful to the instructor and his approach of coding in the spot and showing what errors look like and how one can rectify them.

I am amazed to see such an end-to-end project explanation. I want really thank you for making such content. It's really helpful for ML enthusiast beginners like me !

5:15 Types of Recommender systems 10:50 Project Flow 12:20 Dataset & Jupyter notebook setup 15:15 Data Preprocessing 55:00 Vectorization 1:23:30 Main function 1:33:28 Frontend/Streamlit 2:07:45 Deployment Thank you so much sir !! It was a really very fruitful and informative tutorial !! 💯💯

I think these guy really needs an award for the best tutor or best content on AI ML , right now no one can match him no one these guy is incredible

Thankyou sir bahut din se project try kar rha tha finally apki video mil gyi now it's done

after watching 46 mins of this video i paused the video just to like and subscribe it. really nice explanation. you deserve lots of many many subscribers and much more

Smooth and lucid explanation. Loved it.

Thank you so much Sir, for building end-to-end projects.

Best explanation, and delivery of machine learning project ever, Hats off 👏

Recently discovered your channel and I cannot believe that this level of content is available on RU-vid and freely hats off man god bless you

This is by far one of the best project explanations!! Please do more!! This made me believe that I could learn this and actually enjoy doing it!!! THANKS A TON!!!

Outstanding work, very simple, practical as well as theoretical explanation, I got it very clear, my theoretical concept cleared, thank you so much, best wishes. I watched your tutorial first time, Chanel is subscribed. love from Pakistan

Starting ke 5 min mei hi samajh aa gayaa tha ki yehi vo video hai jise mai itne din se dhoond rahaa thaa.♥♥

Thanks you sir .Very much helpful for me and your elaborating skills have cleared my doubts. It will be more helpful for my resume .Thanks a lot sir. And sir you do one more related to hybrid for recent Gen .that will be more beneficial and we can know how it is more efficient than others.

Wonderful explanation bro, I have watched many Indian you tube channels and better than krish naik or code with harry... Pls upload content more

As of March 2022, you can save a pandas DataFrame and save it as pickle and load it to show at streamlit. Genius Content. Salute, you are just amazing.

Again thank you, I've never watched this type of outstanding tutorial

I don't know how much experienced you are, your hands-on practice was appreciated. This video makes me very knowledgeable and cleared some of my doubts. why don't make a video on collaborative recommender and explain which algorithm is efficient.

Thank you Sir for coming to my college "VIT BHOPAL".😇😇 Your way of teaching has always been innovative and mesmerizing. I met you for the very first time and you've been so humble and genuine sir. I learnt a lot from you SIR. I completed so many ML Projects just because of you sir. Thanks for such a sweet gesture. If you ever read my comment, Please reply Sir.😍

You are one of the greatest teacher, I've ever seen.

Who have done all the project without understanding any single word in hindu language but understood all the explanations ? 😁😁😁😁 This guy is such a great teacher. Thank you so much mate.

the github code is incomplete and some function are not their

Really good explanation! Can you please make a data science course or something? This will help a lot of people.

Just amazing. I watched the entire video and it was so enlightening.

Thank you so much for making my life easier through your amazing tutorial!!!

Make a video on Content + Collaborative = hybrid with deployment .. That would be the best approach for movie Recommendation system

At 1:57:51 The command is now changed from st.beta_columns() to st.columns()

very well structured and explained, thank you for creating content like this 👏👏

Extremely helpful, Words cannot adequately express my appreciation for your help.

For People Getting Application Error. Only two problems to fix : Ensure P is Capital in Procfile. & replace 'credentials' to 'config' in text written in setup.sh file or make a new setup.sh file exactly as teacher has made, delete old one.

Sir , apke jaise teacher UDEMY par hona chahiye

Thank you so much ,one of the best ml end to end project video I have ever seen.

I usually don't comment on videos but I had to show my gratitude for this. plus engagement :p Great work! thx

your project got the first prize of 50k in my college hackthon

Sir can u please make the video on tfidf and word2vec and explain their basic mathematical understanding

Amazing

@nitish sir thanks you so much sir . You are really God for us in data science learning . Keep it up ,may your channel grow abruptly . Dhanyawad guruji

Thanks! Keep it up!

you may also write the convert function at 38:07 like import json def convert(json_str): # Parse the JSON string into a list of dictionaries data = json.loads(json_str) # Extract the name values from each dictionary names = [d['name'] for d in data] return names

Thanks a Lot Sir. The way you explained was really great and understanding.

00:02 Content-based movie recommendation system explained in this video. 02:27 Recommendation systems are crucial for ecommerce and online businesses. 09:48 This video discusses building a content-based movie recommender system 17:59 Discussion about movie production details like shooting location, revenue, and tag line 22:39 Content-based movie recommender system 25:01 Content based movie recommender system using similarity of movie content. 36:50 Creating a list and converting strings to list 39:37 Creating a cast column for content-based movie recommender system 47:52 Content-based Recommender System helps prevent confusion in movie recommendations. 53:13 Building a movie recommender system to recommend top five movies to users 1:03:11 Movie recommender system uses vector representation of movies in a two-dimensional space 1:08:14 Creating and using movie vectors to summarize movie descriptions 1:16:18 Content-Based Recommender System with Heroku Deployment 1:26:35 Creating a content-based movie recommender system 1:31:40 Creating a content-based movie recommender system with Heroku deployment 1:34:17 Creating the project and setting up the environment for the recommender system. 1:39:50 Creating a movie recommender system with content-based filtering 1:51:47 Fetch movie details using movie ID 2:01:21 Implementing a movie recommender system with Heroku deployment. 2:07:47 Instructions to setup necessary files for deploying the recommender system on Heroku 2:10:21 Creating a movie recommender system using a content-based approach 2:17:07 Creating a content-based recommender system using a dataset of songs, books or any deleted set.

Please create a project on collaborative filtering recomendation system

Excellent video. Please make more end to end ML projects. Also, i have a question, instead of movie tags, whatif we use movie genre for recommendations? Thanks in advance

end-to-end , great explanation. superb!

Thanku so much for a detailed end to end explaination...Ur videos r unique , informative. Thanku ..Great channel.👍

Sir, I really liked the video and followed it till the end. I can say its my first project done from scracth till deployment. Only one issue, heroku isn't free anymore and deployment phase reamins incomplete. if you can find any free alternative and explain the deploymnet on that platform it'll be really helpful.

Sir can you please tell me which algorithm you are using 1) Linear Regression 2) Decision tree 3) Neural networks 4) Logistic regression

Thank You so much sir❤for your time, effort and topclass teaching.

Thank you sir for your great efforts. You did such a great effort for us.

I'm having application error while deployment.. If someone has resolved the issue already,please do tell the steps accordingly that would be a great help!

As an ML interviewer, my suggestion is, never ever write this project in your resume. Few other projects, not to ever mention in your resume : dog-cat Classification, digit Classification, sentiment analysis

Amazing guided project. It helped me alot to unerstand machine learnig for recomendation systems. Now I am going to try this my own and then will try to create recommendation system for songs, books too

Thanks brother for your efforts in downloading amazing project examples and motivations.

UPDATE APRIL 2024: THIS PROJECT IS NOT WORKING, NOT ABLE TO FETCH POSTERS AS TMDB WEBSITE IS NOT RESPONDING. (FACING CONNECTION ERROR 10054)...DON'T WASTE YOUR TIME HERE.

Sir, Your videos are super awesome for some one who is doing self study on ML

I was able to understand and build the complete project! I really apricate your hard work and for making such good quality videos, Thank you!!!

You have all the blessings - you made it very easy to understand

really thank u bhai i have not seen this type of video on utube since 4 years. i wanted this type of video. i also subscribed u. keep making videos and make your own company.

U just did great work brother ❤️. Nice explaination on every step.

Seriously this video is so worth it .Amazing !

Thank you so much especially for resolving the error in the video itself!

Your ability to express content force me to subscribe. 👍🏻👍🏻 (keep going..)

Your contribution will be remembered by the ML Community.

Massive thank you for mind-blowing tutorial! Seriously, your real-world examples made those concepts a total breeze. You rock!

This was a great project. Building a ML model and connecting with webpages and deploying was great. Btw thanks brother 🎉

You are really going to have millions of subscribers one day, thank u so much

thanks aloooot sir...mzaaa aa gya buhat shukrya apka itni mehnat krny ka buhat kmaaal tha

its first time i watch 2 hrs video and i don't wanted it to end

Thank you so much for this project and video its really help me for my Machine Learning journey. Your way of teaching is very good and clear.

u are one of the best teachers thanks :)

Thanks a lot sir for this amazing complete project.

u have put alot of efforts ,thanks alot for the project

Thank you sir for making good videos , Your explanation is good and detail . I am very thankfull of you . keep it up and making more and more good videos like this .

Thank You...for easy explanation.....I was doing this project with you that to understanding everything....Now I think I can do more

As usual top class explanation Sir ! God bless!

This is a great explanation. Thank you very much❤

Thank you for the excellent explanation of the movie recommendation system, covering every aspect thoroughly. Your patience in explaining has greatly aided me in my final-year thesis project. Please continue sharing machine learning projects on your channel. I eagerly anticipate more machine learning projects on your channel. Specifically, I'm looking forward to the object detection project utilizing YOLO and Haar Cascades. Keep up the excellent work!👏👏

great tutorial ... watched and built the entire thing ....Loved it...

great learning now I have the power to say yes i know how end to end project makes...thanks sir..

Ultimate Teaching skills! Thank you!

Great video and effort put by you..Learnt a lot. Thanks for this