This notebook contains code for analyzing and predicting the prices of houses in King County, USA. The data set used contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. This project is a part of the Coursera course Data Analysis with Python. The aforementioned course is a part of IBM Data Science Professional Certificate.
Box Plot and Regression Plot are used for visualization and getting an insight into the data set.
Algorithms used for training are:
- Linear Regression
- Polynomial Regression
- Ridge Regression
Coefficient of determination or R^2 is used for evaluating the models.