House Pricing AI Model

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Implementation

Important

To run a Google Colab, you must be signed in with a Google account. For more information, view stackoverflow.

Select and then upload the following datasets found here:

• AmesHousing.csv
• Virginia_Housing.csv

Tip

Wyatt AI has been developed to use general features instead of overly-specific ones. If a certain feature is missing, input a reasonable estimate.

# Instructions
# Input your house features into the last segment of the Jupyter Notebook

sample = pd.DataFrame({
   "Square_Feet": [2700],
   "Bedrooms": [5],
   "Bathrooms": [4],
   "Year_Built": [2018],
   "Lot_Size": [0.49],
   "Garage": [2]
})

# Printing
predicted_price = model.predict(sample)
print(f"\nPredicted Price for Sample House: ${predicted_price[0]:,.2f}")

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Independence DSAI 2025-26