Data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home. (udacity machine learning engineer nanodegree Project #1)
This project requires Python and the following Python libraries installed:
The modified Boston housing dataset consists of 489 data points, with each datapoint having 3 features. This dataset is a modified version of the Boston Housing dataset found on the UCI Machine Learning Repository.
Features
RM
: average number of rooms per dwellingLSTAT
: percentage of population considered lower statusPTRATIO
: pupil-teacher ratio by town
Target Variable
4. MEDV
: median value of owner-occupied homes