With all the things in place, it's time to look at practical examples. Under this topic, we will build and store a deep learning model from scratch using Keras. To get started, we need a dataset. You might be thinking here comes MNIST data again. but not this time. We will look for data in the University of California, Irvine (UCI) Machine Learning Repository.
The UCI Machine Learning Repository has lots of datasets you can play with. Kaggle is another interesting source. Ask redditors for data at https://reddit.com/r/data
You can check all the UCI's datasets in the following link: https://archive.ics.uci.edu/ml/datasets.html
The dataset used is about credit card default. It can be found here: https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients ...
