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