Summary
This chapter dealt with different types of regression algorithms. We started with linear regression and used it to predict house prices for a simple one-input variable case. We built simple and multiple linear regression models using the TensorFlow Keras API. The chapter then moved toward logistic regression, which is a very important and useful technique for classifying tasks. The chapter explained the TensorFlow Keras API and used it to implement both linear and logistic regression for some classical datasets. The next chapter will introduce you to convolutional neural networks, the most commercially successful neural network models for image data.