In this project you will discover how to effectively use the Keras library in your machine learning project by working through a binary classification project step-by-step.
After completing this project, you will know:
• How to load training data and make it available to Keras. • How to design and train a neural network for tabular data. • How to evaluate the performance of a neural network model in Keras on unseen data. • How to perform data preparation to improve skill when using neural networks. • How to tune the topology and configuration of neural networks in Keras.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes
Python with libraries
matplotlib
numpy
pandas
keras
sklearn