This repository contains project file for the Project "Boston Housing" as part of Udacity's Machine Learning Nanodegree.
Boston housing dataset has 489 data points with 4 variables each. The dataset can be found in housing.csv. The features are:
- RM : average number of rooms among homes in the neighborhood.
- LSTAT : percentage of homeowners in the neighborhood considered "lower class" (working poor).
- PTRATIO : ratio of students to teachers in primary and secondary schools in the neighborhood.
The target variable to predict is MEDV : median value of owner-occupied houses.