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 combines the strength of 4 different neuroscience courses into a cohesive learning experience. Taught by Johns Hopkins University, it begins with fundamental neuroscience... more
As a follow-on course to \"Linear Kalman Filter Deep Dive\", this course derives the steps of the extended Kalman filter and the sigma-point Kalman filter for estimating the state of nonlinear... more
In Object-Oriented Concepts, we will introduce the core concepts behind modern, object-oriented, programming. We will discuss objects, classes, messaging, inheritance, polymorphism, and more. As... more
This is a Google Cloud Self-Paced Lab. In this lab, you will create a series of visualizations from the Airports and Flights datasets and save them to a dashboard in Looker.Created by: Google Cloud more
Digital Manufacturing marks a paradigm shift in product development and management, rooted in Industry 4.0. It leverages advanced technologies to streamline operations and meet market demands... more
Powered by
