Create a generator that uses machine learning to match users

[notedwin]

Goal

Create a generator that uses unsupervised learning to match users.

Definition of Done

• Implement a function that takes in users with intent and interest data and converts the data to a vector.
• Implement a function to find the cosine similarity between 2 vectors.
• Implement a function to find 2 users who are the most similar.
• Create a generator that uses the previous function.
• Write test cases for your function implementations.

Tips

• For converting users into a vector look into one-hot encoding.
• This can all be done without pandas/numpy/scikit