Python Machine Learning by Example (Paperback)

Python Machine Learning by Example (Paperback)Take tiny steps to enter the big world of data science through this interesting guide About This Book * Learn the fundamentals of machine learning and build your own intelligent applications * Master the art of building your own machine learning systems with this example based practical guide * Work with important classification and regression algorithms and other machine learning techniques Who This Book Is For This book is for anyone interested in

Take tiny steps to enter the big world of data science through this interesting guide About This Book * Learn the fundamentals of machine learning and build your own intelligent applications * Master the art of building your own machine learning systems with this example-based practical guide * Work with important classification and regression algorithms and other machine learning techniques Who This Book Is For This book is for anyone interested in entering the data science stream with machine learning. Basic familiarity with Python is assumed. What You Will Learn * Exploit the power of Python to handle data extraction, manipulation, and exploration techniques * Use Python to visualize data spread across multiple dimensions and extract useful features * Dive deep into the world of analytics to predict situations correctly * Implement machine learning classification and regression algorithms from scratch in Python * Be amazed to see the algorithms in action * Evaluate the performance of a machine learning model and optimize it * Solve interesting real-world problems using machine learning and Python as the journey unfolds In Detail Data science and machine learning are some of the top buzzwords in the technical world today.

About the Author

Yuxi (Hayden) Liu is currently a data scientist working on messaging app optimization at a multinational online media corporation in Toronto, Canada. He is focusing on social graph mining, social personalization, user demographics and interests prediction, spam detection, and recommendation systems. He has worked for a few years as a data scientist at several programmatic advertising companies, where he applied his machine learning expertise in ad optimization, click-through rate and conversion rate prediction, and click fraud detection. Yuxi earned his degree from the University of Toronto, and published five IEEE transactions and conference papers during his master's research. He finds it enjoyable to crawl data from websites and derive valuable insights. He is also an investment enthusiast.