Grub-Grid-ML

• The main goal of this app was to create a recipe recommendation based on two ingredients and "likes" and "dislikes" from the user.

Demo Video

• Link to the demonstration of the app

My Google Programmable Search Engine

• Link to my Google Programmable Search Engine

My Heroku Web Apps

• Link to my cosine similary heroku app
• Link to my Google Image Retrieval app

Resources

- Recommendation System

• Datasets useful for recommendation systems
• Video explaining Matrix Factorization
• Research paper with mathematical formulas for matrix factorization
• Blog about Matrix Factorization with Python code
• Collaborative Filtering explanation
• Cosine Similarity Explained

- Kaggle Dataset

• The dataset that we used for this project

- Extraction Tools: Pandas, Numpy, SKLearn

• First time user's guide to Pandas
• Building an adjaceny matrix in Pandas
• Documentation for Pandas Series
• Cleaning up csvs with Pandas
• Converting matrices from dense to sparse

- Python

• Creating your first virtual environment in Python

- CloudKit

• What is Cloud Kit?
• Setting up Cloud Kit
• NSPredicate Cheat Sheets and another one
• The cloudkit template project I used
• Adding CKQueries to the main thread in Swift
• CKQuery Example Code

- Creating Web Apps: Heroku, Flask

• Creating a web app with Flask
• Creating your first Heroku Web app from scratch

- Swift

• Apple's MLDataTable library isn't available for iOS
• Using Sort Descriptors in Swift
• Understanding semaphores in Swift
• Returning a value from a closure function in Swift using a handler

- Google Programmable Search Engines

• What is a Google Programmable Search Engine?
• Setting up your first Google Programmable Search Engine

Public Domains Where I asked for Help

• Trying to get NSPredicate to prioritize returned values
• Fetching results from a list of CKQueries
• Helping connecting payment for my Google Programmable Search quota results