Opendoor Data Science Take Home Problem Set

Instructions ask for three parts: a simple housing price model, top 10 3-grams for a Wikipedia article, and a memoizer function. Submission contains the prompt PDF, a large CSV of housing transaction data, and Python code (`house_knn.py`) that builds a simple nearest-neighbors home price predictor using prior sales and median relative absolute error. A second Python file (`getkclosest.py`) looks like auxiliary/scratch code related to nearest-neighbor logic rather than a complete response to Parts 2 or 3.