Housing Prices Prediction Model by Linear Regression
Prerequisite:
- iPythonNotebook with Jupyter
- Graphlab by Turi
- SFrame (Included)
- And ofcourse Python
In this module, we focused on using regression to predict a continuous value (house prices) from features of the house (square feet of living space, number of bedrooms,...). We built an iPython notebook, using data from city of Seattle is located.