Skip to content

Latest commit

 

History

History
2 lines (2 loc) · 371 Bytes

README.md

File metadata and controls

2 lines (2 loc) · 371 Bytes

House_Sales_in_King_Count_USA

In this project, I created a machine learning model using ridge regression to predict the prices from various parameters such as the number of floors, presence of a waterfront, and how many bedrooms it has. bedrooms. I also used R^2 to predict the model's accuracy. This is my submission for my IBM course called Data Analysis with Python