R, Linear Regression, Inferences, Correlation Analysis, Diagnosis, Remedial Measures,, Multiple Linear Regression, Quantitative and Qualitative Predictors, Logistic Regression and Poisson Regression, FIFA 18 Players Wages Prediction, HR Attrition at IBM Prediction.
I took this class in Fall 2017. Each folder is its own project/exercise. Each folder in this repository explores a topic on its own. The projects/exercises are all in R and can be walked through easily. Applied Linear Statistical Models Student reference book was used in this class. Projects in this repository include:
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Linear Regression
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Inferences in Regression and Correlation Analysis
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Diagnosis and Remedial Measures
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Simultaneous Inferences and Further Regression Analysis
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Multiple Linear Regression
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Multiple Linear Regression Review Questions
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Regression Models for Quantitative and Qualitative Predictors
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Logistic Regression and Poisson Regression
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FIFA 18 Players Wages Prediction - Multiple Regression Analysis
- Multiple Regression Model of FIFA 18 Complete Player Dataset - files included:
- Dataset
- First and Final Drafts of the project, in R-Markdown and Word.
- PowerPoint Presentation
- Poster Presentation
- Multiple Regression Model of FIFA 18 Complete Player Dataset - files included:
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HR Attrition at IBM Prediction - Logistic Regression
- Logistic Regression Model of IBM HR Analytics Employee Attrition & Performance Dataset - files included:
- Dataset
- Project in R-Markdown and Word.
- Logistic Regression Model of IBM HR Analytics Employee Attrition & Performance Dataset - files included:
Feel free to clone this repository and to explore the projects.