MikeHatchi / boston_housing

Data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.

boston_housing

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:

• NumPy
• Pandas
• matplotlib
• scikit-learn

Data

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

1. RM: average number of rooms per dwelling
2. LSTAT: percentage of population considered lower status
3. PTRATIO: pupil-teacher ratio by town

Target Variable 4. MEDV: median value of owner-occupied homes