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Introduction
This book is your practical guide towards novice to master in machine learning with
Python in six steps. The six steps path has been designed based on the “Six degrees of
separation” theory that states that everyone and everything is a maximum of six steps
away. Note that the theory deals with the quality of connections, rather than their
existence. So a great effort has been taken to design eminent, yet simple six steps
covering fundamentals to advanced topics gradually that will help a beginner walk his
way from no or least knowledge of machine learning in Python to all the way to
becoming a master practitioner. This book is also helpful for current Machine Learning
practitioners to learn the advanced topics such as Hyperparameter tuning, various
ensemble techniques, Natural Language Processing (NLP), deep learning, and the basics
of reinforcement learning. See Figure 1 .
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