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housing-price-prediction's Introduction

Housing Prices Optimization

Understanding the Client and their Problem

  • Client Housebuyer: This client wants to find their next dream home with a reasonable price tag. They have their locations of interest ready.
  • Client Houseseller: This client wants to take advantage of the features that influence a house price the most. They typically want to buy a house at a low price and invest on the features that will give the highest return.

Goal: predicting the final price for each house using advanced regression techniques.

Data: https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques

Evaluation: Root-Mean-Square-Error (RMSE) (the log price is to reduce the impact of biased higher price)

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