ADS1

Users you can test with (to see recommender):

username: fish password: f2598f4688f7f6e1ba301093c5c79cb31def9a567f19154f469bac980891e8b1

username:days password: f2598f4688f7f6e1ba301093c5c79cb31def9a567f19154f469bac980891e8b1

Name		Name	Last commit message	Last commit date
Latest commit History 98 Commits
Mock-ups		Mock-ups
Recommender		Recommender
Web_app		Web_app
data		data
examples BBC HTML		examples BBC HTML
web_app(0)		web_app(0)
.DS_Store		.DS_Store
.gitignore		.gitignore
Advanced filter.ipynb		Advanced filter.ipynb
Database Example-Copy1.ipynb		Database Example-Copy1.ipynb
Database Example-Copy2.ipynb		Database Example-Copy2.ipynb
Database Example-Copy3.ipynb		Database Example-Copy3.ipynb
Database Example.ipynb		Database Example.ipynb
Discance function v1.ipynb		Discance function v1.ipynb
Filter by ingredient.ipynb		Filter by ingredient.ipynb
MongoDB Documentation.ipynb		MongoDB Documentation.ipynb
MongoDB tests.ipynb		MongoDB tests.ipynb
Name Filter.ipynb		Name Filter.ipynb
README.md		README.md
ScrapingExample.ipynb		ScrapingExample.ipynb
Untitledencoding (1).ipynb		Untitledencoding (1).ipynb
UserBasedRecommender.ipynb		UserBasedRecommender.ipynb
UserRecipeRatings.ipynb		UserRecipeRatings.ipynb
Users.ipynb		Users.ipynb
bdWithLinks.json		bdWithLinks.json
fooddb.py		fooddb.py
one_hot_ingredients.csv		one_hot_ingredients.csv
ph_product_sprint_backlog_0.03.xls		ph_product_sprint_backlog_0.03.xls
ratings.csv		ratings.csv
ratingsFull.csv		ratingsFull.csv
recipes_with_type.csv		recipes_with_type.csv
test.py		test.py
test_flask.py		test_flask.py
trial.ipynb		trial.ipynb
users.json		users.json
users2.json		users2.json

AgileDataScienceUB/ADS1