Machine Learning with Python for Everyone

Students are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine Learning with Python for Everyone brings together all they'll need to succeed: a practical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently. Reflecting 20 years of experience teaching non-specialists, Dr. Mark Fenner teaches through carefully-crafted datasets that are complex enough to be interesting, but simple enough for non-specialists. Building on this foundation, Fenner presents real-world case studies that apply his lessons in detailed, nuanced ways. Throughout, he offers clear narratives, practical "code-alongs," and easy-to-understand images -- focusing on mathematics only where it's necessary to make connections and deepen insight. All students need to succeed in data science with Python: process, code, and implementation Students will understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems Integrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets All you need to succeed in data science with Python: process, code, and implementation Understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems Integrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets For wide audiences of analysts, managers, project leads, statisticians, developers, and students who want a quick jumpstart into data science