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
Ensuring adequate nutrition is essential for infants to reach their full potential, as early-life nutritional imbalances and deficiencies may result in detrimental and often irreversible adverse... more
Congratulations on your interest in pursuing a career in cybersecurity. The Certified in Cybersecurity (CC) certification will demonstrate to employers that you have foundational knowledge of... more
This is a self-paced lab that takes place in the Google Cloud console. This lab deployings a Kubernetes Engine cluster, then a simple web application fronted by a load balancer is deployed to the... more
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find insights from data sets that do not have a target or labeled variable. You... more
This course teaches learners the underlying principles behind conventional radiography, computerized axial tomography (CT), magnetic resonance imaging (MRI), and ultrasound. The radiology of chest,... more
Powered by
