Price-Predictor

A project based on Linear Regression Model to predict housing prices

Above is a Java Program which works on a univariate dataset which can be used to predict the optimal pricing of a house.

Tools used :

1. Common Maths library 3.6
2. JavaFX for Graph Rendering

Linear Regression model is used to fit a straight line in a scatter plot.

Works appropriately for

1. Clustered regualar datasets
2. Randomized datasets

Steps to run this application :

1. Download the Apache Commons Maths library from http://commons.apache.org/proper/commons-math/download_math.cgi

2. Extract the same in your destined Java Project folder.

3. Go to the Netbeans IDE and in the Libraries submenu under Tools, click on 'New Library' button and then give it a proper name and add the commons math3 jar file.

4. Add the same in your project, handle the path issues and relocate the packages carefully to get the project working properly.