Python Programming: Intermediate by Alex Stark

Python intermediate guide

Are you looking to learn more about Machine Learning with Python?

Then Python Programming is the book for you!

The knowledge you learned in beginner-level programming will help you power through most concepts in this book. That’s the beauty of programming—the learning process is progressive.

We introduce machine learning concepts in an easy-to-understand way, such that you can always use this book, not just for intermediate-level Python programming, but also as reference material once you upgrade to advanced-level programming.

In this guide, you will discover:

  • The importance of machine learning
  • The basics of working with Python
  • How to set up your Python environment
  • Data preprocessing with machine learning
  • Working with linear regression in machine learning
  • The benefits of a decision tree
  • Working on the random forest algorithm
  • The advantages of the Naive Bayes Algorithm
  • How can you use the KNN Algorithm

And so much more!

Get a copy of Python Programming: The Ultimate Intermediate Guide to Learn Python Machine Learning Step-by-Step today and start your new adventure now!