ML

There is also a set of Python libraries for doing machine learning. Knowing the Python libraries and algorithms is not enough. Please learn as much as you can about the models and techniques you will use. There is always more to learn. Here are some of the libraries you will most likely frequently use.

scikit-learn

scikit-learn is a powerhouse in ML in Python. There are other important Python libraries for ML, such as TensorFlow and PyTorch, but we will not use them directly in this book. Just be aware that they are out there, and that you should learn about them as your ML skills improve.

If you are learning about or doing ML in Python, you will very quickly run into scikit-learn. scikit-learn provides a treasure trove of ML models, data loaders, preprocessors, transformations, and much more. There are many books and blog posts about scikit-learn, including several that have been published by Packt. If you are interested in learning ML, you will be doing a lot of reading...