Python Machine Learning, 1st Edition: Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics - Softcover

If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning-whether you want to start from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.

Sebastian Raschka is a PhD student at Michigan State University, who develops new computational methods in the field of computational biology. He has been ranked as the number one most influential data scientist on GitHub by Analytics Vidhya. He has a yearlong experience in Python programming and he has conducted several seminars on the practical applications of data science and machine learning. Talking and writing about data science, machine learning, and Python really motivated Sebastian to write this book in order to help people develop data-driven solutions without necessarily needing to have a machine learning background. He has also actively contributed to open source projects and methods that he implemented, which are now successfully used in machine learning competitions, such as Kaggle. In his free time, he works on models for sports predictions, and if he is not in front of the computer, he enjoys playing sports.