Summary

This was the second hands-on chapter in the book. You've learned how to solve classification machine learning tasks in an automated fashion with two in-depth examples on well-known datasets. Without any kind of doubt, you are now ready to use TPOT to solve any type of classification problem.

By now, you know how to solve regression and classification tasks. But what about parallel training? What about neural networks? The following chapter, Chapter 5, Parallel Training with TPOT and Dask, will teach you what parallel training is and how to utilize it with TPOT. Later, in Chapter 6, Getting Started with Deep Learning – Crash Course in Neural Networks, you'll reinforce your knowledge of basic deep learning and neural networks. As the icing on the cake, you'll learn how to use deep learning with TPOT in Chapter 7, Neural Network Classifier with TPOT.

Please feel encouraged to practice solving classification problems automatically with tools and techniques...