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ML-property-appraisal

Description

We built Machine Learning models such as K-Nearest Neighbors and Decision Trees Classifier Models to determine an approximate predicted valuation of a property using various metrics such as number of rooms, land size, housing type, etc. The main goal is to build a more consistent and precise solution to property appraisal.

Prerequisites

Check ../external-libraries for more.

Procedure

  1. Loading Dataset
  2. Cleaning Data
  3. Data Splitting
  4. Data Visualization
  5. KNN & Decision Tree
  6. Cross Validating KNN & Decision Tree

Publication

Check ../publication for more.

Source Code

Check ../src for more.

Dataset

Check ../dataset for more.

Stay in touch

Nguyen Le

Ashtosh Bhandari

Zachary Pao

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