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in read excel data (which is ['property_id', 'sqft_hvac', 'sqft_yard', 'bedrooms', 'bathrooms', 'miles_to_school', 'price']) Then it returns a string like this: predicted price = $32,362.85 + ($85.61 x sqft_hvac) + ($2.73 x sqft_yard) + ($59,195.07 x bedrooms) + ($9,599.24 x bathrooms) + ($-17,421.84 x miles_to_

in read excel data (which is ['property_id', 'sqft_hvac', 'sqft_yard', 'bedrooms', 'bathrooms', 'miles_to_school', 'price']) Then it returns a string like this: predicted price = $32,362.85 + ($85.61 x sqft_hvac) + ($2.73 x sqft_yard) + ($59,195.07 x bedrooms) + ($9,599.24 x bathrooms) + ($-17,421.84 x miles_to_

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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• format prediction which takes B (the vector of coefficients) and labels that you created
in read excel data (which is ['property_id', 'sqft_hvac', 'sqft_yard', 'bedrooms', 'bathrooms', 'miles_to_school', 'price'])
 Then it returns a string like this:
predicted price = $32,362.85 + ($85.61 x sqft_hvac) + ($2.73 x sqft_yard) +
($59,195.07 x bedrooms) + ($9,599.24 x bathrooms) +
($-17,421.84 x miles_to_school)}

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