ReCommander is our course project, very special due to times it was created it :) #NeverForget2020
We plan to use
- Random Forest algorithm - Ensemble ML model using Decision Trees
- Django Web Framework - Web based survey application to serve the recommendations
- Sci-kit Learn - To implement the RF algorithm in Python
Select datasetDenormalize database and feature selection[Bahawal]Start Django project[Tarun]Populate Postgres database from MovieLens Dataset and connect with Django[Tarun]- Survey web application development [Tarun]
Research on saving survey instance without need of creating a userDevelop startup screen to ask for user's favourite movie- Start implementing proximity matrix logic
- As ToDo is getting longer, let's move it to a different markdown file
- Find a way to deploy the model[Bahawal]
Tool | Link |
---|---|
[Dataset] The Movies Dataset, MovieLens | https://www.kaggle.com/rounakbanik/the-movies-dataset |
[API] IMDbPY, Python IMDB API-wrapper | https://imdbpy.github.io/ |
- Tarun Kumar
- Bahawal