From the course: Machine Learning and AI Foundations: Value Estimations
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Build a simple home value estimator
From the course: Machine Learning and AI Foundations: Value Estimations
Build a simple home value estimator
- [Instructor] Before we dive into more complicated machine learning algorithms let's build the simplest program possible to estimate the value of a house based on its attributes. Open up simple_value_estimator.py. Here we have a function called estimate_home_value. The goal of this function is to estimate the price of a house based on its attributes. This function takes in two attributes to describe a house the size of the house in square feet and the number of bedrooms in the house. At the end of the function it returns the predicted value for the house. To predict the value for the house all we have to do is decide how much the size of the house and the number of bedrooms affects the final value of the house. Let's start by assuming that any house no matter how small is worth at least $50,000 so we can start with $50,000 as the initial value estimate. Next, we have to decide how much the size of the house plays into the final value. I'm going to guess that every square foot is…
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