Predictive Modeling, Model Fitting, and Regression Analysis
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.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Duration 4 hours
- Course by University of California, Irvine
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Offered by
About
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.Modules
Predictive Modeling
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1
Videos
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2
Readings
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1
Discussion
1
Discussions
- Predictive Modeling and Supervised Learning
1
Videos
- Supervised vs. Unsupervised Modeling
2
Readings
- Predictive Modeling
- Supplemental Resources
Data Dimensionality and Classification Analysis
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2
Readings
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1
Assignment
1
Assignment
- Modules 1 and 2
2
Readings
- Data Dimensionality and Classification Analysis
- Supplemental Resources
Model Fitting
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1
Videos
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2
Readings
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1
Discussion
1
Discussions
- Logistic Regression vs. Decision Trees
1
Videos
- Model Generalization
2
Readings
- Model Fitting
- Supplemental Resources
Regression Analysis
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2
Readings
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1
Discussion
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1
Assignment
1
Assignment
- Modules 3 and 4
1
Discussions
- OPTIONAL: Exploring Further – Regression Model Report
2
Readings
- Regression Analysis
- Supplemental Resource
Auto Summary
Dive into Predictive Modeling, Model Fitting, and Regression Analysis in this Coursera course focused on Data Science & AI. Led by expert instructors, you'll explore supervised and unsupervised models, learn to fit, train, and score them for business objectives, and engage in a hands-on linear regression activity. Perfect for professionals, the course spans 240 minutes with a starter subscription option. Ideal for those aiming to enhance their predictive analytics skills.
Julie Pai