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Deep Learning approach to build a predictive model of house prices

The purpose of this project is to apply deep learning approaches to build a predictive model where the output is “MEDV - Median value of owner-occupied homes in 1000's dollars”

Steps

  1. Step 1- Data Processing
  2. Step 2 - Split into Training and Test Dataset
  3. Step 3 - Training the Model
  4. Step 4 - Model Performance Evaluation

Authors

Iana Ladygina