UC Irvine - Predictive Modeling, Model Fitting, and Regression Analysis
- Offered byCoursera
- Public/Government Institute
Predictive Modeling, Model Fitting, and Regression Analysis at Coursera Overview
Predictive Modeling, Model Fitting, and Regression Analysis
at Coursera
Duration | 4 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Predictive Modeling, Model Fitting, and Regression Analysis
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
Predictive Modeling, Model Fitting, and Regression Analysis at Coursera Highlights
Predictive Modeling, Model Fitting, and Regression Analysis
at Coursera
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 2 of 4 in the Data Science Fundamentals Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 4 hours to complete
- English Subtitles: English
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Predictive Modeling, Model Fitting, and Regression Analysis at Coursera Course details
Predictive Modeling, Model Fitting, and Regression Analysis
at Coursera
Skills you will learn
More 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.
Predictive Modeling, Model Fitting, and Regression Analysis at Coursera Curriculum
Predictive Modeling, Model Fitting, and Regression Analysis
at Coursera
Predictive Modeling
Supervised vs. Unsupervised Modeling
Predictive Modeling
Supplemental Resources
Data Dimensionality and Classification Analysis
Data Dimensionality and Classification Analysis
Supplemental Resources
Modules 1 and 2
Model Fitting
Model Generalization
Model Fitting
Supplemental Resources
Regression Analysis
Regression Analysis
Supplemental Resource
Modules 3 and 4
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Predictive Modeling, Model Fitting, and Regression Analysis
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