Layton R. Use Python to manipulate data and build predictive models

2nd ed. — Packt Publishing, 2017. — 589 p. — ISBN: 1787126781, 9781787126787This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. There is a rich and varied set of libraries available in Python for data mining.This book covers a large number of these libraries, including the IPython Notebook, pandas, scikit-learn, and NLTK. You will also get hands-on experience with a text mining exercise, and see its importance in usage of modern internet. Next, we move on to more complex data types including text, images, and graphs. In every chapter, we create models that solve real-world problems. Further on, you will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now. With restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining, and a good knowledge and understanding of the algorithms and implementations.