Cosine Similarity From Scratch | Dataford Interview Questions

Write a function to calculate the cosine similarity between two high-dimensional vectors from scratch.

Use equal-length Python lists containing numeric values and return a floating-point similarity score between -1 and 1. If either vector has zero magnitude, return 0.0; do not use NumPy or another vector library.

Constraints

1 <= len(vector_a) == len(vector_b) <= 1000
Each vector value is an integer or floating-point number
Values may be positive, negative, or zero
Return 0.0 when either vector has zero magnitude
Do not use NumPy or another vector-math library

Function Signature

def cosine_similarity(vector_a, vector_b):

Your question is Cosine Similarity From Scratch. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem

Write a function to calculate the cosine similarity between two high-dimensional vectors from scratch.

Constraints

1 <= len(vector_a) == len(vector_b) <= 1000
Each vector value is an integer or floating-point number
Values may be positive, negative, or zero
Return 0.0 when either vector has zero magnitude
Do not use NumPy or another vector-math library

Function Signature

def cosine_similarity(vector_a, vector_b):

Your question is Cosine Similarity From Scratch. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.