/Housing_Price_Prediction

Regression model to predict Housing Prices

Primary LanguageJupyter Notebook

Project Name

Housing Price Prediction - Australia

Table of Contents

General Information

  • This project uses Regression to predict the price of houses in Australia,using the available data .
  • This helps in finding the important factors to consider that affects the price of houses.

Conclusions

  • Ground Living Area acts as a significant factor in selling price of a house
  • 88% of the variance of the data is explained by the model

Technologies Used

  • pandas
  • seaborn
  • matplotlib
  • numpy
  • scikit learn

Contact

Created by [@KaviyaSubramanian706] - feel free to contact me!