House Prices ANN
Contents
House Prices ANN#
In this project we solve the house price prediction problem from Worked Example: House Prices II with an ANN. Read ANN Basics and Training ANNs before your start.
The ANN#
In Worked Example: House Prices II we saw that not all features or of importance for price prediction. Thus, here we restrict our attention to the important features only.
Task: Train an ANN for house price prediction based on following features:
region’s average land prices and income,
lot size and living space,
build and renovation year
number of rooms and bath rooms,
building type (duplex, villa, other).
Apply regularization (parameter choice via Scikit-Learn’s hyperparameter optimization methods) and try different ANN sizes (number of layers, number of neurons per layer) as well as different activation functions.
Solution:
# your solution
Some Theory#
Task: Think about implications of very small batch sizes in case of noisy data. Are small batches good or bad here?
Solution:
# your notes