2018
Real Estate Prediction
A housing-price classification project using clustering, feature engineering, and supervised learning.
Machine LearningClassificationClusteringMatlab
Overview
This project used open Edmonton datasets to model property prices through a combination of unsupervised and supervised learning.
It focused on extracting useful features, forming classes, and testing approaches like decision trees and ensemble bagged trees.