House price detection algorithm The code implements linear regression to analyze the relationship between house size (in square feet) and house prices (in dollars). It uses the scikit-learn library in Python to perform linear regression, calculate the mean squared error (MSE), and determine the R-squared value. The dataset, 'house_prices.csv,' is loaded into a Pandas DataFrame, and the data is then converted into arrays for the machine learning model. The code visualizes the dataset and the fitted regression line using Matplotlib. Finally, it demonstrates making a prediction using the trained model.
-
Notifications
You must be signed in to change notification settings - Fork 0
House price prediction algorithm
License
abhigyan02/HousePrice
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
House price prediction algorithm
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published