Linear & Logistic Regression
Predictive Analytics
| Intermediate
- 10 videos | 41m 20s
- Includes Assessment
- Earns a Badge
Regression modeling investigates relationships between dependent and independent variables and is heavily relied upon for predictive analytics and data mining applications. Explore both the linear and logistic regression models.
WHAT YOU WILL LEARN
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Recognize characteristics of linear regressionCalculate sum of squared errorsDetermine the ols parametersMake regression inferencesList key features of logistic regression
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Recognize the logit transformation and likelihood functionsInterpret logistic regression resultsCalculate the odds ratioRecognize key considerations for logistic regressionDetermine and interpret the statistical significance of individual variables and of the overall model
IN THIS COURSE
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5m 18sAfter completing this video, you will be able to recognize characteristics of linear regression. FREE ACCESS
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3m 41sIn this video, you will learn how to calculate the sum of squared errors. FREE ACCESS
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2m 59sIn this video, you will determine the parameters of the Ordinary Least Squares method. FREE ACCESS
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4m 23sLearn how to make inferences from regression. FREE ACCESS
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4m 27sAfter watching this video, you will be able to list key features of logistic regression. FREE ACCESS
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6m 33sUpon completion of this video, you will be able to recognize the logit transformation and the likelihood function. FREE ACCESS
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3m 39sTo interpret logistic regression results, please consult a statistician or other expert. FREE ACCESS
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3m 42sIn this video, you will learn how to calculate the odds ratio. FREE ACCESS
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2m 55sAfter completing this video, you will be able to recognize key considerations for logistic regression. FREE ACCESS
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3m 44sIn this video, learn how to determine and interpret the statistical significance of individual variables and of the overall model. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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