Predictive Modeling, Model Fitting, and Regression Analysis
About this Course
Welcome to Predictive Modeling, Model Fitting, and Regression Analysis. In this course, we will explore different approaches in predictive modeling, and discuss how a model can be either supervised or unsupervised. We will review how a model can be fitted, trained and scored to apply to both historical and future data in an effort to address business objectives. Finally, this course includes a hands-on activity to develop a linear regression model.Created by: University of California, Irvine
Related Online Courses
This specialization is intended for aspiring DevOps professionals and IT enthusiasts. Through 8 comprehensive courses, you will cover essential topics including DevOps prerequisites, Git, Jenkins,... more
This specialization is intended for individuals with a basic understanding of digital technologies as well as developers or security professionals with at least 2 years of programming experience... more
In this 3-course specialization, learners will dive into the world of IoT systems and their integration with Industrial Automation. This specialization also explores the design thinking process,... more
This specialization provides an overview of solar photovoltaics (PV), intricacies of solar system design, and a framework for solar PV project management. Targeted for engineers, HVAC installers,... more
This Specialization will teach you to optimize website content for the best possible search engine ranking. You\'ll learn the theory behind Google search and other search engine algorithms; you\'ll... more
Powered by
