Review 1

[okothchristopher]

1. Good Readme. However, you need to detail the reasons for your methodologies, i.e Why did you use Collaborative Filtering over other models. You also need to now put your results and what next steps will be, in terms of deployment. This will be done in September. This should involve implementing a pipeline that retrieves new movie titles every week or so, so that the database is updated and users are able to find recent suggestions.
2. Why is your solution better than existing solutions. You may look into things like, similarity based on Movie descriptions as opposed to traditional recommendations based on Genres etc.
3. You need to upload the fetched data to your repository for ease of reproducibility. #
4. You may consider splitting your notebooks into 3 -
   • Data Sourcing,
   • Data Exploration - where you can detail interesting insights you have gained from the data
   • Modelling
5. How many movies did you fetch, 10 is very little.
6. The result is not really user friendly, we cannot see the end goal of fetching the movie.
7. You may need to deploy a Streamlit Dashboard that users can interact with. This you can do over the next 1 Week.

[okothchristopher]

Some of the comments raised here have not been addressed in the second iteration.

[Iveynganga]

I changed up some parts of the project after we had the check-in so some of the comments did not apply to the project once I made the changes.