Movie Recommendation System with Collaborative Filtering

Collaborative Filtering Recommendation System class is part of Machine Learning Career Track at Code Heroku. Get started in our ML Career Track for Free: http://www.codeheroku.com/ml

Collaborative filtering approach for building recommendation systems rely on ratings and behavior of other users in the system to suggest most relevant items to the user. Concepts covered in this video: Cosine Similarity, Pearson Correlation, Netflix Recommendation System, Jupyter Notebooks, Collaborative Filtering, Movie Lens Dataset

Content Based Recommendation System (Part 1):    • Building a Movie Recommendation Engin...  

Web App Demo: http://www.codeheroku.com/static/movi...
Building this Web App
Part 1:   / how-to-turn-your-machine-learning-scripts-...  
Part2:   / part-2-how-to-turn-your-machine-learning-s...  


Important Links:
1. Complete Course: http://www.codeheroku.com/ml
2. Github: https://github.com/codeheroku/Introdu...
3. Azure Notebooks: https://notebooks.azure.com/hello-cod...
4. Dataset on Google Drive: https://drive.google.com/file/d/1WWQC...
5. Toy Dataset: https://raw.githubusercontent.com/cod...
6. Demo App: http://www.codeheroku.com/static/movi...

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