Skip to content

santhoshini2530/ML_House-Price-Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

ML_House-Price-Prediction

This project predicts house prices using Machine Learning models.

Dataset

King County House Sales Dataset (Kaggle)

Algorithms Used

  • Linear Regression
  • Random Forest Regressor

Performance

Random Forest achieved R² score of 0.85.

Tools

Python, Pandas, NumPy, Scikit-learn, Matplotlib

About

Machine Learning project that predicts house prices using Linear Regression and Random Forest on the King County housing dataset, achieving an R² score of 0.85 after preprocessing and exploratory data analysis.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors