What it does

This Jupyter notebook uses a machine learning technique known as linear regression to learn how to calculate the median value of a housing unit based on 80% of the data obtained from the census acs5 survey. The model generated from the 80 % of the data is then applied to the remaining 20% of the data to validate that the model generalizes.

What's next for Census Tract housing Median Price Estimator

Using real CRIM data?

Built With

  • anaconda
  • jupyter-notebook
  • python
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