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Germany is facing a housing crisis with various causes, including population growth and slow construction. The government aims to build 50,000 more units and create a new ministry to oversee the issue. Data cleaning, visualization, and feature engineering were used to predict house costs and compare models.

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YaqoobD/germany-rental-housing-prediction

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Germany Rental Housing Prediction 🏘️📈

Introduction 🌟

  • Housing Crisis in germany is getting grave.
  • The country’s current government wants to create an entirely new ministry to oversee it.
  • Government pledge is to built 50,000 more units than the current goal.
  • Berlin tried to cap rents for five years, but court threw out the law earlier last year.
  • Germany has 1.8 million empty apartments, according to the DStGB, outside cities where people are less interested in living.
  • Population growth, bad decisions, slow construction, competing demands: These are just some of the causes of Germany's housing crisis

Screenshot 2022-04-30 at 20 51 23

Dataset 📊

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What to Expect 🎯

  • Data cleaning to clear the outliers and remove columns that doesn't have high correlation to the prediction
  • Create visualization to have a better understanding of the rental properties in Germany.
  • Try to Answer some pressing questions.
  • Feature engineering from the original variable to create a better model
  • Create a tool that estimate the house cost predicted by many variables
  • Compare those model to see the best results.

[Yaqoobdavid_Rental _Prediction_presentation_Original.pptx] (https://github.com/YaqoobD/Germany-Rental-Housing-prediction/files/8597611/Yaqoobdavid_Rental._Prediction_presentation_Original.pptx)

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Germany is facing a housing crisis with various causes, including population growth and slow construction. The government aims to build 50,000 more units and create a new ministry to oversee the issue. Data cleaning, visualization, and feature engineering were used to predict house costs and compare models.

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