Program that uses Machine Learning to predict house prices based on historical data. The algorithm that is being implemented is known as "One-shot learning" which is linear regression with the least square error as the error measure.
- Project uses C programming language.
- Price of house is computed using the following equation: y = w0 + w1.x1 + w2.x2 + w3.x3 + w4.x4
- Inverse is being computed using the Gauss-Jordan Elimination method.
Sample Training Data:
Sample Test Data:
Sample Price Output:
All use of this code must comply with the Rutgers University Code of Student Conduct.