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 and for multiple input variable cases. The chapter then moved towards logistic regression, which is a very important and useful technique for classifying tasks. The chapter explained the TensorFlow Estimator 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.