Hands-On Deep Learning for IoT

ML baselines

Now that we have generated the features, we can start training a first ML model called RandomForestRegressor. Then, we will gradually move to using DL using Long Short-Term Memory (LSTM) network. Random forest (RF) is an ensemble technique that builds several decision trees and integrates them together to get a more accurate and stable prediction. In general, a deeper tree signifies more complex decision rules and a better-fitted model for example the following image shows Decision tree for university admission data:

Consequently, the deeper the tree, the more complex the decision rules and the better fitted the model is. This ...