Baselight

Amsterdam House Price Prediction

Predict Sales Prices and Practice Feature Engineering

@kaggle.thomasnibb_amsterdam_house_price_prediction

About this Dataset

Amsterdam House Price Prediction

Context

If you are like me, you might get overwhelmed when having to make big decisions such as buying a house. In such cases, I always like to go for a data driven approach, that will help me find an optimum solution. This involves two steps. First, we need to gather as much data as we can. Second, we need to define a metric for success.

Gathering housing prices requires some effort. A caveat is that the asking prices are not the prices to which the houses were actually sold. Defining a metric for success is somewhat subjective. I consider a house to be a good option if the house price is cheap compared to other listings in the area.

Content

The housing prices have been obtained from Pararius.nl as a snapshot in August 2021. The original data provided features such as price, floor area and the number of rooms. The data has been further enhanced by utilising the Mapbox API to obtain the coordinates of each listing.

Acknowledgements

Thanks to Pararius

Tables

Housingprices Amsterdam August 2021

@kaggle.thomasnibb_amsterdam_house_price_prediction.housingprices_amsterdam_august_2021
  • 51.82 KB
  • 924 rows
  • 8 columns
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CREATE TABLE housingprices_amsterdam_august_2021 (
  "unnamed_0" BIGINT,
  "address" VARCHAR,
  "zip" VARCHAR,
  "price" DOUBLE,
  "area" BIGINT,
  "room" BIGINT,
  "lon" DOUBLE,
  "lat" DOUBLE
);