Treffer: Python Machine Learning Blueprints: Intuitive Data Projects You Can Relate to

About This BookPut machine learning principles into practice to solve real-world problemsGet to grips with Python's impressive range of Machine Learning libraries and frameworksFrom retrieving data from APIs to cleaning and visualization, become more confident at tackling every stage of the data pipelineWho This Book Is ForThis book targets Python programmers, data scientists, and architects with a good knowledge of data science and who want to build complete Python-based machine learning systems.What You Will LearnUnderstand the Python machine learning ecosystemLearn how to perform linear regressionIntroduction to machine vision conceptsAdvanced data visualization techniquesHow to deploy machine learning models using third party APIsTime series modeling techniquesHow to build unsupervised modelsIn DetailMachine learning is rapidly becoming a fixture of our data-driven world. It is relied upon in fields as diverse as robotics and medicine to retail and publishing. In this book, you will learn how to build real-world machine learning applications step by step.Working through easy-to-understand projects, you will learn how to process various types of data and how and when to apply different machine learning techniques such as supervised or unsupervised learning.Each of the projects in this book provides educational as well as practical value. For example, you'll learn how to use clustering techniques to find bargain airfares, and how to use linear regression to find a cheap apartment.This book will teach you to use machine learning to collect, analyze, and act on massive quantities of data in an approachable, no-nonsense manner.