Make A Prediction

Lesson 4 of 8

To wrap up, let’s use the model to make a prediction.

We’re going to invent a fake housing block in San Francisco, in the middle of the Mission district. The block has 2500 rooms, 1000 bedrooms, houses 500 people and 150 households. The apartments are 10 years old on average, and the normalized median income in that neighborhood is 2.0.

For how much could you sell an apartment in that housing block?

We will ask our AI agent to write code that prompts us for all the properties of a single housing block, and then we’ll use the machine learning model to predict what the median house value will be for any apartment in the block.

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