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OverviewFull Product DetailsAuthor: Nathan GreeneltchPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781789800265ISBN 10: 1789800269 Pages: 188 Publication Date: 25 April 2019 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Contents Data Mining and Getting Started with Python Tools Basic Terminology and Our End-to-End Example Collecting, Exploring, and Visualizing Data Cleaning and Readying Data for Analysis Grouping and Clustering Data Prediction with Regression and Classification Advanced Topics - Building a Data Processing Pipeline and Deploying ItReviewsAuthor InformationNathan Greeneltch, PhD is a ML engineer at Intel Corp and resident data mining and analytics expert in the AI consulting group. He’s worked with Python analytics in both the start-up realm and the large-scale manufacturing sector over the course of the last decade. Nathan regularly mentors new hires and engineers fresh to the field of analytics, with impromptu chalk talks and division-wide knowledge-sharing sessions at Intel. In his past life, he was a physical chemist studying surface enhancement of the vibration signals of small molecules; a topic on which he wrote a doctoral thesis while at Northwestern University in Evanston, IL. Nathan hails from the southeastern United States, with family in equal parts from Arkansas and Florida. Tab Content 6Author Website:Countries AvailableAll regions |
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