A short guide for beginners in machine and deep learning with code parsing. Here you will find the necessary minimum in the subject, interpreted in a language understandable to the student. Some sections are written using ChatGPT. After reading, you will get rid of the fear of technology and master the basic tools for preparing data, loading it into the model and adjusting it. Suitable for technical students. When starting to study machine learning, students easily and naturally achieve... entanglements. A couple of incomprehensible terms or ambiguities in the calculation - and that's it: the brain loses its thread and begins to perceive "diagonally." It's quite laborious to wade through the incomprehensible. Not every day we have a resource to google the incomprehensible. Not every Google request will give a concise, understandable answer. My task is to describe the details of this mosaic in a language understandable to a high school student. I will deliberately avoid formulas, because I know: each of them reduces the number of readers. However, there will be code in the book and it will be commented on extensively. The minimum requirement for the reader is knowledge of the basics of Python. The book focuses on machine learning, and therefore I will not dwell on terms like "variable" and "list."