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House Price Prediction Using Keras

In this repository, I have tried to predict house prices using a neural network model in Keras.

Data

This project uses a customized housing price data with the following features:
Number of rows: 5000
Number of columns :7
Features:

  • Year of sale of the house
  • Age of the house at the time of sale
  • Distance from the city centre
  • Number of stores in the locality
  • Latitude
  • Longitude

Goal

To predict the housing sale price of a particular house using Neural Networks in Keras and make use of "EarlyStopping" and "History Callback" feature in neural networks

Model

The model that I have implemented has the following features:


  • Dense Hidden Layer with 10 neurons (activation = relu)
  • Dense Hidden Layer with 50 neurons (activation = relu)
  • Dense Hidden Layer with 30 neurons (activation = relu)
  • Optimizer = "Adam"
  • Loss = Mean Squared Error

Tracking Metric

For this model, I have tracked the validation loss as a parameter for which no more training is required at a patience level of 5 epochs