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
One of the goals of the Teaching Writing specialization has been to help every learner consider ways to adapt what they are learning and apply it to their specific situation, needs and interests.... more
The ability to influence without force or coercion is important in any organization and at all levels. Modern managers must master the art of persuasive communication, adapt to the needs of the... more
Hello everyone and welcome to this new hands-on project on Scikit-Learn for solving machine learning regression problems. In this project, we will learn how to build and train regression models... more
This course provides participants with a comprehensive understanding of how custom GPTs can be leveraged for strategic decision-making in business. It begins with an introduction to custom GPTs,... more
This course offers a proven framework for crafting and delivering impactful presentations. In the professional world, academic settings, or public life, we\'re frequently asked to \"share some... more