π Challenge: Hypertune Model Parameters
Explore how to hypertune parameters in a Keras deep learning model to improve accuracy in classifying survival outcomes from the Titanic dataset. Understand the process of adjusting network structure and training parameters to meet a target accuracy of 80 percent, enhancing model performance on training, validation, and test data.
We'll cover the following...
We'll cover the following...
Problem statement
The titanic dataset classifies survival or not survival given the features. This is the same code explained here. ...