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OverviewFull Product DetailsAuthor: Kevin JollyPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781789343700ISBN 10: 1789343704 Pages: 172 Publication Date: 30 October 2018 Audience: General/trade , General 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 Introducing Machine Learning with scikit-learn Predicting categories with K-Nearest Neighbours Predicting categories with Logistic Regression Predicting categories with Naive Bayes and SVMs Predicting numeric outcomes with Linear Regression Classification & Regression with Trees Clustering data with Unsupervised Machine Learning Performance evaluation methodsReviewsAuthor InformationKevin Jolly is a formally educated data scientist with a master's degree in data science from the prestigious King's College London. Kevin works as a statistical analyst with a digital healthcare start-up, Connido Limited, in London, where he is primarily involved in leading the data science projects that the company undertakes. He has built machine learning pipelines for small and big data, with a focus on scaling such pipelines into production for the products that the company has built. Kevin is also the author of a book titled Hands-On Data Visualization with Bokeh, published by Packt. He is the editor-in-chief of Linear, a weekly online publication on data science software and products. Tab Content 6Author Website:Countries AvailableAll regions |
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