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Key FeaturesLearn the fundamentals of machine learning and build your own intelligent applicationsMaster the art of building your own machine learning systems with this example-based practical guideWork with neural networks and genetic algorithmsBook DescriptionData science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning.This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as getting data, exploratory data analysis, regression algorithms, and more with the help of various projects included in the book. Toward the end, you will learn to predict the stock market price, find out about neural networks, and apply algorithms to the datasets.Through this book, you will learn to apply the concepts of machine learning to deal with data-related problems and solve them using the powerful yet simple language, Python. Interesting and easy-to-follow examples will keep you glued till you learn what machine learning is and how to implement it.What you will learnExploit the power of Python to handle data extraction, manipulation, and exploration techniquesUse Python to visualize data

spread across multiple dimensions and extract useful featuresDive deep into the world of analytics to predict situations correctlyImplement Python machine learning and regression algorithms from scratchBe amazed to see the algorithms in actionWork with neural networks and genetic algorithmsSolve interesting real-world problems using machine learning and Python as the journey unfoldsAbout the AuthorIvan Idris has an MSc in Experimental Physics. His graduation thesis had a strong emphasis on Applied Computer Science. After graduating, he worked for several companies as a Java Developer, Data warehouse Developer, and QA Analyst. His main professional interests are Business Intelligence, Big Data, and Cloud Computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5 Beginner's Guide and NumPy Cookbook by Packt Publishing. You can find more information and a blog with a few NumPy examples at ivanidris.net.

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