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OverviewFull Product DetailsAuthor: Stephen KlostermanPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited Edition: 2nd Revised edition ISBN: 9781800564480ISBN 10: 1800564481 Pages: 432 Publication Date: 29 July 2021 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsTable of Contents Data Exploration and Cleaning Introduction to Scikit-Learn and Model Evaluation Details of Logistic Regression and Feature Exploration The Bias-Variance Trade-off Decision Trees and Random Forests Gradient Boosting, XGBoost, and SHAP (SHapley Additive exPlanations) Values Test Set Analysis, Financial Insights, and Delivery to the ClientReviewsAuthor InformationStephen Klosterman is a Machine Learning Data Scientist with a background in math, environmental science, and ecology. His education includes a Ph.D. in Biology from Harvard University, where he was an assistant teacher of the Data Science course. His professional experience includes work in the environmental, health care, and financial sectors. At work, he likes to research and develop machine learning solutions that create value, and that stakeholders understand. In his spare time, he enjoys running, biking, paddleboarding, and music. Tab Content 6Author Website:Countries AvailableAll regions |
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