A google colab Notebook for the regression analysis of the Boston Housing prices dataset using the Keras API in python.
The Boston housing prices is a small dataset containing 506 cases with 13 training attributes describing the houses and the median house price in thousand dollars as the target attribute.
For this dataset a Shallow Neural network gave better results as compared to a deep network due to its small size. On training the network the mean absolute error on the test data was ~2.5k dollars which is an acceptable error in the case of housing prices.
