Recommended readings for further explanation

These books are good for more in-depth discussions and as an introduction to important and relevant topics. I recommend that you start with these if you want to become an expert:

• Data mining in practice: 

Data Mining: Practical Machine Learning Tools and Techniques, 4th Edition by Ian H. Witten (author), Eibe Frank (author), Mark A. Hall (author), Christopher J. Pal

• Data mining advanced discussion and mathematical foundation:

Data Mining and Analysis: Fundamental Concepts and Algorithms, 1st Edition by Mohammed J. Zaki (author), Wagner Meira Jr (author)

• Computer science taught with Python:

Python Programming: An Introduction to Computer Science, 3rd Edition by John Zelle (author)

• Python machine learning and analytics:

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition Paperback—September 20, 2017 by Sebastian Raschka (author), Vahid Mirjalili (author) 

Advanced Machine Learning with Python Paperback—July 28, 2016 by John Hearty