![Mastering Machine Learning with Python in Six Steps [A Practical Implementation Guide to Predictive Data Analytics Using Python]](https://www.rulit.me/kotha/images/nocover.jpg "Mastering Machine Learning with Python in Six Steps [A Practical Implementation Guide to Predictive Data Analytics Using Python]")
Аннотация
This book is your practical guide to moving from novice to master in machine learning (ML) with Python 3 in six steps. The six steps path has been designed based on the “six degrees of separation” theory, which 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 an eminent yet simple six steps covering fundamentals to advanced topics gradually, to help a beginner walk his/her way from no or least knowledge of ML in Python all the way to becoming a master practitioner. This book is also helpful for current ML practitioners to learn advanced topics such as hyperparameter tuning, various ensemble techniques, natural language processing (NLP), deep learning, and the basics of reinforcement learning.
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