Decision Trees, Random Forests, AdaBoost & XGBoost in Python

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Improvement Science in Education Coupon
Teaching & Academics
[100% Off] Improvement Science in Education
Updated: by Ahmad
Duration: 32.0 hours
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Description

With roots in industry and in health care, improvement science is a disciplined approach to educational innovation that supports teachers, leaders, and researchers in collaborating to solve specific problems of practice. Improvement science brings discipline and methods to different logics of innovation by integrating: Problem analysis Use of research Development of solutions Measurement of processes and outcomes Rapid refinement through plan-do-study-act cycles. For teachers, school leaders, and system leaders, improvement science moves educational innovation out of the realm of “fad” and into the realm of research-based, evidence-driven continuous improvement, with the goal of increasing the effectiveness of educational practice. That, in turn, will support schools and systems in responding to calls to improve opportunities to learn and student performance and calls to reduce achievement gaps by improving the day-to-day work students, teachers, and leaders. In this introduction to improvement science, developed in collaboration with the Carnegie Foundation for the Advancement of Teaching, learners will explore: Problem-specific and user-centered design and analysis Differences in implementation and outcomes as resources for improvement Improving systems to improve practice Driving improvement through measurement, evidence, and disciplined inquiry This course is part of the Leading Educational Innovation and Improvement MicroMasters Program offered by MichiganX. Show less

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