https://github.com/airdac/sim-ames_housing

Prediction of house prices with linear regression in R. Team project from UPC's Master's Degree in Data Science
https://github.com/airdac/sim-ames_housing

data-analysis data-science linear-regression r statistical-models upc

Last synced: 13 days ago
JSON representation

Prediction of house prices with linear regression in R. Team project from UPC's Master's Degree in Data Science

• Host: GitHub
• URL: https://github.com/airdac/sim-ames_housing
• Owner: airdac
• Created: 2023-11-04T18:06:17.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-12-26T11:54:21.000Z (over 2 years ago)
• Last Synced: 2025-01-15T01:47:19.644Z (over 1 year ago)
• Topics: data-analysis, data-science, linear-regression, r, statistical-models, upc
• Language: HTML
• Homepage:
• Size: 67 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# SIM-Project

Master's team project where we have been asked to analyze the Ames Housing dataset found in https://www.kaggle.com/competitions/house-prices-advancedregression-

techniques/overview. It consists in preprocessing the data and afterwards creating a linear regression model to predict the sale price of a dwelling in Ames, Iowa, USA.

Master's in Data Science, Universitat Politècnica de Catalunya - BarcelonaTech

Statistical Inference and Modeling

Team members:

  Adrià Casanova

  Zhengyong Ji

  Víctor García