tanercam/Predicting-Boston-House-Prices-by-Using-Azure-Databricks

In this study Boston House Prices were predicted by using Azure Databricks platform. The data includes the home values of Boston in 1970's. Five of the 14 diverse variables were used for this small study. These are: CRIM - per capita crime rate by town RM - average number of rooms per dwelling TAX - full-value property-tax rate per $10,000 LSTAT - % lower status of the population MEDV - Median value of owner-occupied homes in $1000's The value of homes (median house values) variable was used as the label and the number of rooms, crime per capita, property tax rate, and percent of the population considered lower class variables were used as the features. Predictions were made by using linear regression. Apache Spark Notebook in Azure Databricks were used for running the codes during the analyses.

Python