Different types of Linear Regression using sklearn performed on KC House Data
This project contains dataset of house sale prices for USA. It includes homes sold between May 2019 and May 2020. Goal to determine the market price of a house given a set of features.Analyze and predict housing prices using attributes or features such as square footage, number of bedrooms, number of floors, and so on.
Multiple linear regression implemented using R and data exploratory analysis done
A Data Science approach to predict house sales from given dataset. All steps from CRISP-DM Framework are accounted for and Linear Regression is used for modelling.
Add a description, image, and links to the house-sales-prediction topic page so that developers can more easily learn about it.
To associate your repository with the house-sales-prediction topic, visit your repo's landing page and select "manage topics."