Skip to content

๐Ÿก Built linear regression model to predict house prices in Ames dataset with applied tools such as scikit-learn pipeline

Notifications You must be signed in to change notification settings

TanyamonSiri/house-prices-prediction-with-regression-model

Folders and files

NameName
Last commit message
Last commit date

Latest commit

ย 

History

16 Commits
ย 
ย 
ย 
ย 

Repository files navigation

house-prices-prediction-with-regression-model

Project Day: Real Estate Price Prediction ๐Ÿ ๐Ÿ˜๏ธ๐Ÿชด

This notebook is a part of a final project in The Data Master program by xLab Digital.

Created by Midjorneyโ›ต

Description

As this is the final project, I will focus on

  • Explore multiple feature engineering methods
  • Apply scikit-learn Pipeline to create pipeline for preprocessing and column transformer
  • Implement linear regression model to predict house prices using the Ames Housing Dataset

Table of content

Dataset Acknowledgements

The Ames Housing dataset was compiled by Dean De Cock for use in data science education. It's an incredible alternative for data scientists looking for a modernized and expanded version of the often cited Boston Housing dataset.

About

๐Ÿก Built linear regression model to predict house prices in Ames dataset with applied tools such as scikit-learn pipeline

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages