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data analysis and feature engineering to design a strategy for dealing with missing values and outliers then, using Spark ML and decision trees to perform predictions over the rent prices of the houses

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InasK6/Housing-Rent-Price-Prediction

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Housing-Rent-Price-Prediction

The project has been conducted in two steps:

  • Performed data mining, data analysis and feature engineering to design a strategy for dealing with missing values and outliers
  • Used Spark ML with decision trees model to perform predictions on the rent prices of the houses

Data: https://www.kaggle.com/austinreese/usa-housing-listings

Authors: Célina KHALFAT, Inas KACI

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data analysis and feature engineering to design a strategy for dealing with missing values and outliers then, using Spark ML and decision trees to perform predictions over the rent prices of the houses

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