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University of Colorado Boulder - Regression Analysis 

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Regression Analysis
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Coursera 
Overview

Duration

40 hours

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Regression Analysis
 at 
Coursera 
Highlights

  • Earn a certificate of completion
  • Add to your LinkedIn profile
  • 5 quizzes, 1 assignment
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Regression Analysis
 at 
Coursera 
Course details

Skills you will learn
What are the course deliverables?
  • What you'll learn
  • Understand the principles and significance of regression analysis in supervised learning.
  • Implement cross-validation methods to assess model performance and optimize hyperparameters.
  • Comprehend ensemble methods (bagging, boosting, and stacking) and their role in enhancing regression model accuracy.
More about this course
  • The "Regression Analysis" course equips students with the fundamental concepts of one of the most important supervised learning methods, regression
  • Participants will explore various regression techniques and learn how to evaluate them effectively
  • Additionally, students will gain expertise in advanced topics, including polynomial regression, regularization techniques (Ridge, Lasso, and Elastic Net), cross-validation, and ensemble methods (bagging, boosting, and stacking)
  • Through interactive tutorials and practical case studies, students will gain hands-on experience in applying regression analysis to real-world data scenarios

Regression Analysis
 at 
Coursera 
Curriculum

Introduction to Regression and Linear Regression

Introduction to Regression and Linear Regression

Assessment Strategy

Activity Strategy

Linear Regression Demo

Linear Regression Case Study

Linear Regression Quiz

Linear Regression Exploration Exercise

Polynomial Regression

Polynomial Regression

Polynomial Regression Demo

Polynomial Regression Case Study

Polynomial Regression Quiz

Polynomial Regression Exploration Exercise

Regularization

Regularization

Regularization Demo

Regularization Case Study - CA Housing Price

Regularization Case Study

Regularization Quiz

Regularization Exploration Exercise

Evaluation and Cross Validation

Cross Validation

Evaluation and Cross Validation Demo

Cross Validation Case Study - CA Housing Price

Evaluation and Cross Validation Case Study

Evaluation and Cross Validation Quiz

Evaluation and Cross Validation Exploration Exercise

Ensemble Methods

Ensemble Methods

Ensemble Methods Demo

Ensemble Case Study - CA Housing Price

Ensemble Methods Case Study

Ensemble Methods Quiz

Ensemble Methods Exploration Exercise

Case Study

Regression Analysis
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Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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