Algorithm · Two Sigma · Medium
Estimate residential property values in New York City. You receive historical records containing property attributes—such as floor area, neighborhood, and bedroom count—along with past sale amounts. Build a prediction system that can use this information to forecast prices for additional properties. Functions to implement: Examine the supplied records to determine which attributes most affect home values. Fit a prediction model with a suitable machine-learning method. Use…
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